C-Index (S-Space Package 2.0.1 API)

A B C D E F G H I J K L M N O P R S T U V W X Y

C

CachingOnDiskSemanticSpace - Class in edu.ucla.sspace.common: A SemanticSpace where most vector data is kept on disk, but frequently accessed data is kept in memory.
CachingOnDiskSemanticSpace(String) - Constructor for class edu.ucla.sspace.common.CachingOnDiskSemanticSpace: Creates a new instance of CachingOnDiskSemanticSpace from the data in the file with the specified name.
CachingOnDiskSemanticSpace(File) - Constructor for class edu.ucla.sspace.common.CachingOnDiskSemanticSpace: Creates a new instance of CachingOnDiskSemanticSpace from the data in the specified file.
calculate(Matrix) - Method in interface edu.ucla.sspace.matrix.AffinityMatrixCreator: Computes the affinity matrix for the input matrix according to the specified similarity metrics, returning the result as a file on disk.
calculate(MatrixFile) - Method in interface edu.ucla.sspace.matrix.AffinityMatrixCreator: Computes the affinity matrix for the input matrix according to the specified similarity metrics, returning the result as a file on disk.
calculate(MatrixFile, boolean) - Method in interface edu.ucla.sspace.matrix.AffinityMatrixCreator: Computes the affinity matrix for the input matrix according to the specified similarity metrics, optionally treating the columns as data points, and returning the result as a file on disk.
calculate(Matrix) - Method in class edu.ucla.sspace.matrix.MinSimilarityAffinityMatrixCreator: Computes the affinity matrix for the input matrix according to the specified similarity metrics, returning the result as a file on disk.
calculate(MatrixFile) - Method in class edu.ucla.sspace.matrix.MinSimilarityAffinityMatrixCreator: Computes the affinity matrix for the input matrix according to the specified similarity metrics, returning the result as a file on disk.
calculate(MatrixFile, boolean) - Method in class edu.ucla.sspace.matrix.MinSimilarityAffinityMatrixCreator: Computes the affinity matrix for the input matrix according to the specified similarity metrics, optionally treating the columns as data points, and returning the result as a file on disk.
calculate(Matrix) - Method in class edu.ucla.sspace.matrix.NearestNeighborAffinityMatrixCreator: Computes the affinity matrix for the input matrix according to the specified similarity metrics, returning the result as a file on disk.
calculate(MatrixFile) - Method in class edu.ucla.sspace.matrix.NearestNeighborAffinityMatrixCreator: Computes the affinity matrix for the input matrix according to the specified similarity metrics, returning the result as a file on disk.
calculate(MatrixFile, boolean) - Method in class edu.ucla.sspace.matrix.NearestNeighborAffinityMatrixCreator: Computes the affinity matrix for the input matrix according to the specified similarity metrics, optionally treating the columns as data points, and returning the result as a file on disk.
cardinality() - Method in class edu.ucla.sspace.util.IntegerMap: Returns the number of non-zero values in this sparse array
cardinality() - Method in interface edu.ucla.sspace.util.SparseArray: Returns the number of non-zero values in this sparse array
cardinality() - Method in class edu.ucla.sspace.util.SparseDoubleArray: Returns the number of non-zero values in this sparse array
cardinality() - Method in class edu.ucla.sspace.util.SparseHashArray: Returns the number of non-zero values in this sparse array
cardinality() - Method in class edu.ucla.sspace.util.SparseIntArray: Returns the number of non-zero values in this sparse array
cardinality() - Method in class edu.ucla.sspace.util.SparseIntHashArray: Returns the number of non-zero values in this sparse array
cardinality() - Method in class edu.ucla.sspace.util.SparseLongArray: Returns the number of non-zero values in this sparse array
CellMaskedMatrix - Class in edu.ucla.sspace.matrix: This Matrix decorator allows every row and column index to be remapped to new indices.
CellMaskedMatrix(Matrix, int[], int[]) - Constructor for class edu.ucla.sspace.matrix.CellMaskedMatrix: Creates a new CellMaskedMatrix from a given Matrix and maps, one for the row indices and one for the column indices.
CellMaskedSparseMatrix - Class in edu.ucla.sspace.matrix: This SparseMatrix decorator allows every row and column index to be remapped to new indices.
CellMaskedSparseMatrix(SparseMatrix, int[], int[]) - Constructor for class edu.ucla.sspace.matrix.CellMaskedSparseMatrix: Creates a new CellMaskedSparseMatrix from a given SparseMatrix and maps, one for the row indices and one for the column indices.
centroid() - Method in class edu.ucla.sspace.clustering.CentroidCluster: Returns an immutable view of the centroid for this Cluster.
centroid() - Method in interface edu.ucla.sspace.clustering.Cluster: Returns an immutable view of the centroid for this Cluster.
centroid() - Method in class edu.ucla.sspace.clustering.SynchronizedCluster: Returns an immutable view of the centroid for this Cluster.
CentroidCluster<T extends DoubleVector> - Class in edu.ucla.sspace.clustering: This Cluster represents only the centroid of the data points assigned to it.
CentroidCluster(T) - Constructor for class edu.ucla.sspace.clustering.CentroidCluster: Creates a new CentroidCluster that takes ownership of emptyVector as the centroid for this Cluster.
centroids - Variable in class edu.ucla.sspace.clustering.criterion.BaseFunction: The centroids representing each cluster.
centroids() - Method in class edu.ucla.sspace.clustering.criterion.BaseFunction: Returns the final set of centroids computed for the dataset passed to setup.
centroids() - Method in interface edu.ucla.sspace.clustering.criterion.CriterionFunction: Returns the final set of centroids computed for the dataset passed to setup.
centroids - Variable in class edu.ucla.sspace.clustering.criterion.HybridBaseFunction: The centroids representing each cluster.
centroids() - Method in class edu.ucla.sspace.clustering.criterion.HybridBaseFunction: Returns the final set of centroids computed for the dataset passed to setup.
ch.akuhn.edu.mit.tedlab - package ch.akuhn.edu.mit.tedlab
characters(char[], int, int) - Method in class edu.ucla.sspace.graph.io.GraphMLReader.GraphMLParser
characters(char[], int, int) - Method in class edu.ucla.sspace.text.corpora.SemEvalCorpusReader.SemEvalHandler: Appends the text to the current context.
characters(char[], int, int) - Method in class edu.ucla.sspace.text.corpora.SemEvalLexSubReader.SemEvalHandler: Appends the text to the current context.
CharMap<V> - Class in edu.ucla.sspace.util: A space-optimized map for associating char keys with values.
CharMap() - Constructor for class edu.ucla.sspace.util.CharMap: Creates a new map.
CharMap(Map<Character, ? extends V>) - Constructor for class edu.ucla.sspace.util.CharMap: Creates a new map with the mappings contained in m.
checkData(double[], int) - Method in class jnt.FFT.ComplexDouble2DFFT
checkData(double[], int, int) - Method in class jnt.FFT.ComplexDoubleFFT
checkData(float[], int) - Method in class jnt.FFT.ComplexFloat2DFFT
checkData(float[], int, int) - Method in class jnt.FFT.ComplexFloatFFT
checkData(double[], int, int) - Method in class jnt.FFT.RealDoubleFFT
checkData(float[], int) - Method in class jnt.FFT.RealFloat2DFFT_Even
checkData(float[], int, int) - Method in class jnt.FFT.RealFloatFFT
checkFactor(int) - Static method in class edu.ucla.sspace.fft.FastFourierTransform: Create an FFT for transforming n points of real, double precision data.
ChildesCorpusReader - Class in edu.ucla.sspace.text: A corpus reader for the Childes corpus.
ChildesCorpusReader() - Constructor for class edu.ucla.sspace.text.ChildesCorpusReader
ChildesCorpusReader - Class in edu.ucla.sspace.text.corpora: A corpus reader for the Childes corpus.
ChildesCorpusReader() - Constructor for class edu.ucla.sspace.text.corpora.ChildesCorpusReader: Constructs a new ChildesCorpusReader that uses no preprocessing before documents are returned.
ChildesCorpusReader(DocumentPreprocessor) - Constructor for class edu.ucla.sspace.text.corpora.ChildesCorpusReader: Constructs a new ChildesCorpusReader that uses preprocessor to clean documents before they are returned.
ChildesCorpusReader.ChildesFileIterator - Class in edu.ucla.sspace.text.corpora
ChildesCorpusReader.ChildesFileIterator(Iterator<File>) - Constructor for class edu.ucla.sspace.text.corpora.ChildesCorpusReader.ChildesFileIterator
ChildesCorpusReader.InnerIterator - Class in edu.ucla.sspace.text
ChildesCorpusReader.InnerIterator(Iterator<File>) - Constructor for class edu.ucla.sspace.text.ChildesCorpusReader.InnerIterator
ChildesParser - Class in edu.ucla.sspace.tools: A simple xml parser for the Childes corpus.
ChildesParser(String, String, boolean, boolean, boolean, boolean) - Constructor for class edu.ucla.sspace.tools.ChildesParser: Creates the ChildesParser.
ChineseWhispersClustering - Class in edu.ucla.sspace.graph
ChineseWhispersClustering() - Constructor for class edu.ucla.sspace.graph.ChineseWhispersClustering
ChiSquaredTest - Class in edu.ucla.sspace.common.statistics
ChiSquaredTest() - Constructor for class edu.ucla.sspace.common.statistics.ChiSquaredTest
chooseSeeds(int, Matrix) - Method in class edu.ucla.sspace.clustering.seeding.GeneralizedOrssSeed: Selects k rows of dataPoints to be seeds of a k-means instance.
chooseSeeds(Matrix, int, int[]) - Method in class edu.ucla.sspace.clustering.seeding.GeneralizedOrssSeed: Selects k rows of dataPoints, weighted by the specified amount, to be seeds of a k-means instance.
chooseSeeds(int, Matrix) - Method in class edu.ucla.sspace.clustering.seeding.KMeansPlusPlusSeed: Selects the best scattered numCentroids data points from dataPoints.
chooseSeeds(int, Matrix) - Method in interface edu.ucla.sspace.clustering.seeding.KMeansSeed: Returns an array of length numCentroids that contains centroids composed of either vectors from dataPoints or a linear combination of vectors from dataPoints.
chooseSeeds(int, Matrix) - Method in class edu.ucla.sspace.clustering.seeding.OrssSeed: Returns an array of length numCentroids that contains centroids composed of either vectors from dataPoints or a linear combination of vectors from dataPoints.
chooseSeeds(int, Matrix) - Method in class edu.ucla.sspace.clustering.seeding.RandomSeed: Returns an array of length numCentroids that contains centroids composed of either vectors from dataPoints or a linear combination of vectors from dataPoints.
CKVWSpectralClustering03 - Class in edu.ucla.sspace.clustering: A spectral clustering implementation based on the following paper:
David Cheng , Ravi Kannan , Santosh Vempala , Grant Wang (2003) On a Recursive Spectral Algorithm for Clustering from Pairwise Similaritie.
CKVWSpectralClustering03() - Constructor for class edu.ucla.sspace.clustering.CKVWSpectralClustering03
CKVWSpectralClustering03.SpectralCut - Class in edu.ucla.sspace.clustering: An internal spectral cut implementation that is based on the referred to paper.
CKVWSpectralClustering03.SpectralCut() - Constructor for class edu.ucla.sspace.clustering.CKVWSpectralClustering03.SpectralCut
CKVWSpectralClustering03.SpectralCutGenerator - Class in edu.ucla.sspace.clustering: A simple generator for creating instances of the CKVWSpectralClustering03.SpectralCut class.
CKVWSpectralClustering03.SpectralCutGenerator() - Constructor for class edu.ucla.sspace.clustering.CKVWSpectralClustering03.SpectralCutGenerator
CKVWSpectralClustering06 - Class in edu.ucla.sspace.clustering: A spectral clustering implementation based on the following paper:
David Cheng , Ravi Kannan , Santosh Vempala , Grant Wang (2003) A Divid-and-Merge Methodology for Clustering.
CKVWSpectralClustering06() - Constructor for class edu.ucla.sspace.clustering.CKVWSpectralClustering06
CKVWSpectralClustering06.SuperSpectralCut - Class in edu.ucla.sspace.clustering: An internal spectral cut implementation that is based on the referred to paper.
CKVWSpectralClustering06.SuperSpectralCut() - Constructor for class edu.ucla.sspace.clustering.CKVWSpectralClustering06.SuperSpectralCut
CKVWSpectralClustering06.SuperSpectralGenerator - Class in edu.ucla.sspace.clustering: A simple generator for creating instances of the SpectralCut class.
CKVWSpectralClustering06.SuperSpectralGenerator() - Constructor for class edu.ucla.sspace.clustering.CKVWSpectralClustering06.SuperSpectralGenerator
classFeatures - Variable in class edu.ucla.sspace.matrix.factorization.AbstractSvd: The class by feature type matrix.
classFeatures() - Method in class edu.ucla.sspace.matrix.factorization.AbstractSvd: Returns the latent class by feature Matrix.
classFeatures() - Method in class edu.ucla.sspace.matrix.factorization.NonNegativeMatrixFactorizationMultiplicative: Returns the latent class by feature Matrix.
classFeatures() - Method in class edu.ucla.sspace.matrix.factorization.NonNegativeMatrixFactorizationOPL: Returns the latent class by feature Matrix.
classFeatures() - Method in class edu.ucla.sspace.matrix.factorization.SingularValueDecompositionLibC: Returns the latent class by feature Matrix.
classFeatures() - Method in interface edu.ucla.sspace.matrix.MatrixFactorization: Returns the latent class by feature Matrix.
cleanDoc(String) - Method in class edu.ucla.sspace.text.DirectoryCorpusReader.BaseFileIterator: Returns a cleaned version of the document if document processing is enabled, otherwise the document text is returned unmodified.
clear() - Method in class edu.ucla.sspace.graph.AbstractGraph: Removes all the edges and vertices from this graph (optional operation).
clear() - Method in class edu.ucla.sspace.graph.AbstractGraph.Subgraph: Removes all the edges and vertices from this graph (optional operation).
clear() - Method in class edu.ucla.sspace.graph.DirectedMultigraph: Removes all the edges and vertices from this graph (optional operation).
clear() - Method in interface edu.ucla.sspace.graph.DynamicGraph: Removes all the edges and vertices from this graph
clear() - Method in interface edu.ucla.sspace.graph.Graph: Removes all the edges and vertices from this graph (optional operation).
clear() - Method in class edu.ucla.sspace.graph.GraphAdaptor: Removes all the edges and vertices from this graph (optional operation).
clear() - Method in class edu.ucla.sspace.graph.isomorphism.TypedIsomorphicGraphIndexer: Removes all of the item-index mappings.
clear() - Method in class edu.ucla.sspace.graph.SparseDirectedTypedEdgeSet
clear() - Method in class edu.ucla.sspace.graph.SparseTypedEdgeSet
clear() - Method in class edu.ucla.sspace.graph.SparseWeightedDirectedTypedEdgeSet
clear() - Method in class edu.ucla.sspace.graph.UndirectedMultigraph: Removes all the edges and vertices from this graph (optional operation).
clear() - Method in class edu.ucla.sspace.graph.WeightedDirectedMultigraph: Removes all the edges and vertices from this graph (optional operation).
clear() - Method in class edu.ucla.sspace.tri.OrderedTemporalRandomIndexing: Clears the semantic content of this space as a part of the partitioning processing.
clear() - Method in class edu.ucla.sspace.util.CharMap: Removes all of the mappings from this map.
clear() - Method in class edu.ucla.sspace.util.CombinedSet: Clears the elements from all backing sets.
clear() - Method in class edu.ucla.sspace.util.DisjointSets: Clears the elements from all backing sets.
clear() - Method in class edu.ucla.sspace.util.GeneratorMap
clear() - Method in class edu.ucla.sspace.util.HashBiMap
clear() - Method in class edu.ucla.sspace.util.HashIndexer: Removes all of the item-index mappings.
clear() - Method in class edu.ucla.sspace.util.HashMultiMap: Removes all of the mappings from this multi-map.
clear() - Method in interface edu.ucla.sspace.util.Indexer: Removes all of the item-index mappings.
clear() - Method in class edu.ucla.sspace.util.IntegerMap: Removes all of the mappings from this map.
clear() - Method in interface edu.ucla.sspace.util.MultiMap: Removes all of the mappings from this multi-map.
clear() - Method in class edu.ucla.sspace.util.ObjectIndexer: Removes all of the item-index mappings.
clear() - Method in class edu.ucla.sspace.util.OpenIntSet
clear() - Method in class edu.ucla.sspace.util.primitive.IntIntHashMultiMap: Removes all of the mappings from this multi-map.
clear() - Method in class edu.ucla.sspace.util.SetDecorator
clear() - Method in class edu.ucla.sspace.util.TreeMultiMap: Removes all of the mappings from this multi-map.
clear() - Method in class edu.ucla.sspace.util.TrieMap: Removes all of the mappings from this map.
clear() - Method in class edu.ucla.sspace.util.TrieSet: Removes all of the elements from this set.
clearEdges() - Method in class edu.ucla.sspace.graph.AbstractGraph: Removes all the edges in this graph, retaining all the vertices (optional operation).
clearEdges() - Method in class edu.ucla.sspace.graph.AbstractGraph.Subgraph: Removes all the edges in this graph, retaining all the vertices (optional operation).
clearEdges() - Method in class edu.ucla.sspace.graph.DirectedMultigraph: Removes all the edges in this graph, retaining all the vertices (optional operation).
clearEdges(T) - Method in class edu.ucla.sspace.graph.DirectedMultigraph: Removes all the edges in the graph with the specified edge type.
clearEdges() - Method in interface edu.ucla.sspace.graph.DynamicGraph: Removes all the edges in this graph, retaining all the vertices.
clearEdges() - Method in interface edu.ucla.sspace.graph.Graph: Removes all the edges in this graph, retaining all the vertices (optional operation).
clearEdges() - Method in class edu.ucla.sspace.graph.GraphAdaptor: Removes all the edges in this graph, retaining all the vertices (optional operation).
clearEdges(T) - Method in interface edu.ucla.sspace.graph.Multigraph: Removes all the edges in the graph with the specified edge type.
clearEdges() - Method in class edu.ucla.sspace.graph.UndirectedMultigraph: Removes all the edges in this graph, retaining all the vertices (optional operation).
clearEdges(T) - Method in class edu.ucla.sspace.graph.UndirectedMultigraph: Removes all the edges in the graph with the specified edge type.
clearEdges() - Method in class edu.ucla.sspace.graph.WeightedDirectedMultigraph: Removes all the edges in this graph, retaining all the vertices (optional operation).
clearEdges(T) - Method in class edu.ucla.sspace.graph.WeightedDirectedMultigraph: Removes all the edges in the graph with the specified edge type.
clearSemantics() - Method in class edu.ucla.sspace.gws.GenericWordSpace: Removes all associations between word and semantics while still retaining the words' basis mapping.
clearSemantics() - Method in class edu.ucla.sspace.isa.IncrementalSemanticAnalysis: Removes all associations between word and semantics while still retaining the word to index vector mapping.
clearSemantics() - Method in class edu.ucla.sspace.ri.RandomIndexing: Removes all associations between word and semantics while still retaining the word to index vector mapping.
clone(int, int) - Method in interface edu.ucla.sspace.graph.Edge: Clones the contents associated with this edge, returning the copy mapped to the provided vertices.
clone(int, int) - Method in class edu.ucla.sspace.graph.LabeledEdge
clone(int, int) - Method in class edu.ucla.sspace.graph.SimpleDirectedEdge: Clones the contents associated with this edge, returning the copy mapped to the provided vertices.
clone(int, int) - Method in class edu.ucla.sspace.graph.SimpleDirectedTypedEdge: Clones the contents associated with this edge, returning the copy mapped to the provided vertices.
clone(int, int) - Method in class edu.ucla.sspace.graph.SimpleEdge: Clones the contents associated with this edge, returning the copy mapped to the provided vertices.
clone(int, int) - Method in class edu.ucla.sspace.graph.SimpleTypedEdge: Clones the contents associated with this edge, returning the copy mapped to the provided vertices.
clone(int, int) - Method in class edu.ucla.sspace.graph.SimpleWeightedDirectedTypedEdge: Clones the contents associated with this edge, returning the copy mapped to the provided vertices.
clone(int, int) - Method in class edu.ucla.sspace.graph.SimpleWeightedEdge: Clones the contents associated with this edge, returning the copy mapped to the provided vertices.
clone(int, int) - Method in class edu.ucla.sspace.graph.SimpleWeightedTypedEdge: Clones the contents associated with this edge, returning the copy mapped to the provided vertices.
close() - Method in class edu.ucla.sspace.common.SemanticSpaceWriter: Finishes writing the SemanticSpace and writes all the associated meta data.
cluster(Matrix, Properties) - Method in class edu.ucla.sspace.clustering.AutomaticStopClustering: Clusters the set of rows in the given Matrix without a specified number of clusters (optional operation).
cluster(Matrix, int, Properties) - Method in class edu.ucla.sspace.clustering.AutomaticStopClustering: Clusters the set of rows in the given Matrix into the specified number of clusters.
cluster(Matrix, Properties) - Method in class edu.ucla.sspace.clustering.BisectingKMeans: Not implemented.
cluster(Matrix, int, Properties) - Method in class edu.ucla.sspace.clustering.BisectingKMeans: Clusters the set of rows in the given Matrix into the specified number of clusters.
cluster(Matrix, Properties) - Method in class edu.ucla.sspace.clustering.CKVWSpectralClustering03: Clusters the set of rows in the given Matrix without a specified number of clusters (optional operation).
cluster(Matrix, int, Properties) - Method in class edu.ucla.sspace.clustering.CKVWSpectralClustering03: Clusters the set of rows in the given Matrix into the specified number of clusters.
cluster(Matrix, Properties) - Method in class edu.ucla.sspace.clustering.CKVWSpectralClustering06: Clusters the set of rows in the given Matrix without a specified number of clusters (optional operation).
cluster(Matrix, int, Properties) - Method in class edu.ucla.sspace.clustering.CKVWSpectralClustering06: Clusters the set of rows in the given Matrix into the specified number of clusters.
Cluster<T extends DoubleVector> - Interface in edu.ucla.sspace.clustering: An interface for representing a single cluster, which is composed of several data points.
cluster(Matrix, Properties) - Method in interface edu.ucla.sspace.clustering.Clustering: Clusters the set of rows in the given Matrix without a specified number of clusters (optional operation).
cluster(Matrix, int, Properties) - Method in interface edu.ucla.sspace.clustering.Clustering: Clusters the set of rows in the given Matrix into the specified number of clusters.
cluster(Matrix, int, Properties) - Method in class edu.ucla.sspace.clustering.ClusteringByCommittee: Ignores the provided number of clusters and clusters the rows of the provided matrix using the CBC algorithm.
cluster(Matrix, Properties) - Method in class edu.ucla.sspace.clustering.ClusteringByCommittee: Clusters the rows of m according to the CBC algorithm, using props to specify the configurable parameters of the algorithm.
cluster(Matrix, Properties) - Method in class edu.ucla.sspace.clustering.ClutoClustering: Throws an UnsupportedOperationException if called, as CLUTO requires the number of clusters to be specified.
cluster(Matrix, int, Properties) - Method in class edu.ucla.sspace.clustering.ClutoClustering: Clusters the set of rows in the given Matrix into the specified number of clusters.
cluster(Matrix, int, ClutoClustering.Method, ClutoClustering.Criterion) - Method in class edu.ucla.sspace.clustering.ClutoClustering: Clusters the set of rows in the given Matrix into a specified number of clusters using the specified CLUTO clustering method.
cluster(Matrix, int, Properties) - Method in class edu.ucla.sspace.clustering.DataMatrixLinkClustering
cluster(Matrix, Properties) - Method in class edu.ucla.sspace.clustering.DataMatrixLinkClustering
cluster(Matrix, Properties) - Method in class edu.ucla.sspace.clustering.DirectClustering: Throws UnsupportedOperationException.
cluster(Matrix, int, Properties) - Method in class edu.ucla.sspace.clustering.DirectClustering: Clusters the set of rows in the given Matrix into the specified number of clusters.
cluster(Matrix, int, int) - Static method in class edu.ucla.sspace.clustering.DirectClustering: Clusters matrix using the RandomSeed seeding algorithm and the default kmeans CriterionFunction.
cluster(Matrix, int, int, CriterionFunction) - Static method in class edu.ucla.sspace.clustering.DirectClustering: Clusters matrix using the RandomSeed seeding algorithm and the specified CriterionFunction.
cluster(Matrix, int, int, KMeansSeed, CriterionFunction) - Static method in class edu.ucla.sspace.clustering.DirectClustering: Clusters matrix using the specified SeedAlgorithm and the specified CriterionFunction.
cluster(Matrix, Properties) - Method in class edu.ucla.sspace.clustering.FastStreamingKMeans: Throws an UnsupportedOperationException if called.
cluster(Matrix, int, Properties) - Method in class edu.ucla.sspace.clustering.FastStreamingKMeans: Clusters the set of rows in the given Matrix into the specified number of clusters and using the default values for beta, kappa, and the SimilarityFunction, unless otherwise specified in the properties.
cluster(Matrix, int, int, double, SimilarityFunction) - Method in class edu.ucla.sspace.clustering.FastStreamingKMeans: Clusters the rows of the provided matrix into the specified number of clusters in a single pass using the parameters to guide how clusters are formed.
cluster(Matrix, Properties) - Method in class edu.ucla.sspace.clustering.GapStatistic: Clusters the set of rows in the given Matrix without a specified number of clusters (optional operation).
cluster(Matrix, int, Properties) - Method in class edu.ucla.sspace.clustering.GapStatistic: Clusters the set of rows in the given Matrix into the specified number of clusters.
cluster(Matrix, Properties) - Method in class edu.ucla.sspace.clustering.HierarchicalAgglomerativeClustering: Clusters the set of rows in the given Matrix without a specified number of clusters (optional operation).
cluster(Matrix, int, Properties) - Method in class edu.ucla.sspace.clustering.HierarchicalAgglomerativeClustering: Clusters the set of rows in the given Matrix into the specified number of clusters.
cluster(Matrix, int, Properties) - Method in class edu.ucla.sspace.clustering.LinkClustering: Ignores the specified number of clusters and returns the clustering solution according to the partition density.
cluster(Matrix, Properties) - Method in class edu.ucla.sspace.clustering.LinkClustering: Clusters the set of rows in the given Matrix without a specified number of clusters (optional operation).
cluster(Matrix, Properties) - Method in class edu.ucla.sspace.clustering.NeighborChainAgglomerativeClustering: Unsupported
cluster(Matrix, int, Properties) - Method in class edu.ucla.sspace.clustering.NeighborChainAgglomerativeClustering: Returns the agglomerative clustering result using NeighborChainAgglomerativeClustering.ClusterLink and SimilarityFunction specified from the constructor.
cluster(Matrix) - Method in class edu.ucla.sspace.clustering.SpectralClustering: Returns the Cluster Assignments of each data point in matrix.
cluster(Matrix, int, boolean) - Method in class edu.ucla.sspace.clustering.SpectralClustering: Returns the Cluster for each data point in matrix.
cluster(Matrix, Properties) - Method in class edu.ucla.sspace.clustering.Streemer: Clusters the set of rows in the given Matrix without a specified number of clusters
cluster(Matrix, int, Properties) - Method in class edu.ucla.sspace.clustering.Streemer: Clusters the set of rows in the given Matrix into the specified number of clusters.
cluster(Matrix, int, double, double, int, SimilarityFunction) - Method in class edu.ucla.sspace.clustering.Streemer
cluster(Graph<E>) - Method in class edu.ucla.sspace.graph.ChineseWhispersClustering
cluster(Graph<E>, int) - Method in class edu.ucla.sspace.graph.ChineseWhispersClustering
cluster(Graph<E>, int, double) - Method in class edu.ucla.sspace.graph.ChineseWhispersClustering
cluster(Graph<E>, int, Properties) - Method in class edu.ucla.sspace.graph.LinkClustering: Computes the similarity of the graph's edges and merges them until the specified number of clusters has been reached.
cluster(Graph<E>, Properties) - Method in class edu.ucla.sspace.graph.LinkClustering: Computes the similarity of the graph's edges and merges them to select the final partitioning that maximizes the overall cluster density.
cluster(WeightedGraph<E>, int, Properties) - Method in class edu.ucla.sspace.graph.WeightedLinkClustering: Computes the similarity of the graph's edges and merges them until the specified number of clusters has been reached.
cluster(WeightedGraph<E>, Properties) - Method in class edu.ucla.sspace.graph.WeightedLinkClustering: Computes the similarity of the graph's edges using their weights and merges them to select the final partitioning that maximizes the overall cluster density.
CLUSTER_CRITERION - Static variable in class edu.ucla.sspace.clustering.ClutoClustering: The property to set the name of a ClutoClustering.Criterion that Cluto should use in clustering the data.
CLUSTER_LINKAGE_PROPERTY - Static variable in class edu.ucla.sspace.clustering.HierarchicalAgglomerativeClustering: The property for specifying the cluster linkage to use.
CLUSTER_METHOD - Static variable in class edu.ucla.sspace.clustering.ClutoClustering: The property to set the name of a ClutoClustering.Method that Cluto should use in clustering the data.
clusterAdjacencyMatrix(Matrix, NeighborChainAgglomerativeClustering.ClusterLink, int) - Static method in class edu.ucla.sspace.clustering.NeighborChainAgglomerativeClustering: Clusters the points represented as an adjacency matrix in adj using the supplied ClusterLink method into numCluster.
Clustering - Interface in edu.ucla.sspace.clustering: An interface for any Ofline clustering implementation.
CLUSTERING_METHOD - Static variable in class edu.ucla.sspace.clustering.AutomaticStopClustering: The number of clusters to stop clustering at.
ClusteringByCommittee - Class in edu.ucla.sspace.clustering: An implementation of the Clustering by Committee (CBC) algorithm.
ClusteringByCommittee() - Constructor for class edu.ucla.sspace.clustering.ClusteringByCommittee: Creates a new ClusteringByCommittee instance
clusterRows(Matrix, double, HierarchicalAgglomerativeClustering.ClusterLinkage, Similarity.SimType) - Static method in class edu.ucla.sspace.clustering.HierarchicalAgglomerativeClustering: Clusters all rows in the matrix using the specified cluster similarity measure for comparison and threshold for when to stop clustering.
clusters() - Method in class edu.ucla.sspace.clustering.Assignments: Returns the data point indices assigned to each cluster.
clusterSizes() - Method in class edu.ucla.sspace.clustering.Assignments
clusterSizes - Variable in class edu.ucla.sspace.clustering.criterion.BaseFunction: The number of data points found in each cluster.
clusterSizes() - Method in class edu.ucla.sspace.clustering.criterion.BaseFunction: Returns the number of data points assigned to each cluster.
clusterSizes() - Method in interface edu.ucla.sspace.clustering.criterion.CriterionFunction: Returns the number of data points assigned to each cluster.
clusterSizes - Variable in class edu.ucla.sspace.clustering.criterion.HybridBaseFunction: The number of data points found in each cluster.
clusterSizes() - Method in class edu.ucla.sspace.clustering.criterion.HybridBaseFunction: Returns the number of data points assigned to each cluster.
ClusterSSpace - Class in edu.ucla.sspace.tools
ClusterSSpace() - Constructor for class edu.ucla.sspace.tools.ClusterSSpace
ClutoClustering - Class in edu.ucla.sspace.clustering: A class for interacting with the CLUTO clustering library.
ClutoClustering() - Constructor for class edu.ucla.sspace.clustering.ClutoClustering: Creates a new ClutoClustering instance.
ClutoClustering.Criterion - Enum in edu.ucla.sspace.clustering: The crition function by which CLUTO should evaluate the clustering assignment.
ClutoClustering.Method - Enum in edu.ucla.sspace.clustering: The method by which CLUTO should cluster the data points
ClutoDenseMatrixBuilder - Class in edu.ucla.sspace.matrix: A MatrixBuilder for building dense cluto matrix input files.
ClutoDenseMatrixBuilder() - Constructor for class edu.ucla.sspace.matrix.ClutoDenseMatrixBuilder: Creates a new ClutoSparseMatrixBuilder using a constructed temp file.
ClutoDenseMatrixBuilder(File) - Constructor for class edu.ucla.sspace.matrix.ClutoDenseMatrixBuilder: Creates a new ClutoSparseMatrixBuilder using a the given file.
ClutoSparseMatrixBuilder - Class in edu.ucla.sspace.matrix: A MatrixBuilder for building sparse cluto matrix input files.
ClutoSparseMatrixBuilder() - Constructor for class edu.ucla.sspace.matrix.ClutoSparseMatrixBuilder: Creates a new ClutoSparseMatrixBuilder using a constructed temp file.
ClutoSparseMatrixBuilder(File) - Constructor for class edu.ucla.sspace.matrix.ClutoSparseMatrixBuilder: Creates a new ClutoSparseMatrixBuilder using a the given file.
Coals - Class in edu.ucla.sspace.coals: An implementation of the COALS Semantic Space model.
Coals(Transform, MatrixFactorization) - Constructor for class edu.ucla.sspace.coals.Coals
Coals(Transform, MatrixFactorization, int, int, int) - Constructor for class edu.ucla.sspace.coals.Coals: Creats a Coals instance.
COALS_SSPACE_NAME - Static variable in class edu.ucla.sspace.coals.Coals: The name of this SemanticSpace
CoalsMain - Class in edu.ucla.sspace.mains: An executable class for running Coals from the command line.
COFL_PROPERTY - Static variable in class edu.ucla.sspace.clustering.StreamingKMeans
colMaskMap - Variable in class edu.ucla.sspace.matrix.CellMaskedMatrix: The mapping for columns from new indices to old indices.
ColorGenerator - Class in edu.ucla.sspace.util: A utility for generating a random sequence of colors.
ColorGenerator() - Constructor for class edu.ucla.sspace.util.ColorGenerator
ColorGenerator(Color) - Constructor for class edu.ucla.sspace.util.ColorGenerator
cols - Variable in class ch.akuhn.edu.mit.tedlab.DMat
cols - Variable in class ch.akuhn.edu.mit.tedlab.SMat
column() - Method in interface edu.ucla.sspace.matrix.MatrixEntry: Returns the column index of this entry in the matrix
columns() - Method in class edu.ucla.sspace.matrix.AbstractMatrix: Returns the number of columns in this Matrix.
columns() - Method in class edu.ucla.sspace.matrix.ArrayMatrix: Returns the number of columns in this Matrix.
columns() - Method in class edu.ucla.sspace.matrix.AtomicGrowingMatrix: Returns the number of columns in this Matrix.
columns() - Method in class edu.ucla.sspace.matrix.AtomicGrowingSparseHashMatrix: Returns the number of columns in this Matrix.
columns() - Method in class edu.ucla.sspace.matrix.AtomicGrowingSparseMatrix: Returns the number of columns in this Matrix.
columns() - Method in class edu.ucla.sspace.matrix.CellMaskedMatrix: Returns the number of columns in this Matrix.
columns() - Method in class edu.ucla.sspace.matrix.DiagonalMatrix: Returns the number of columns in this Matrix.
columns() - Method in class edu.ucla.sspace.matrix.GrowingSparseMatrix: Returns the number of columns in this Matrix.
columns() - Method in interface edu.ucla.sspace.matrix.Matrix: Returns the number of columns in this Matrix.
columns() - Method in class edu.ucla.sspace.matrix.OnDiskMatrix: Returns the number of columns in this Matrix.
columns() - Method in class edu.ucla.sspace.matrix.RowMaskedMatrix: Returns the number of columns in this Matrix.
columns() - Method in class edu.ucla.sspace.matrix.RowScaledMatrix: Returns the number of columns in this Matrix.
columns() - Method in class edu.ucla.sspace.matrix.SparseHashMatrix: Returns the number of columns in this Matrix.
columns() - Method in class edu.ucla.sspace.matrix.SparseSymmetricMatrix: Returns the number of columns in this Matrix.
columns() - Method in class edu.ucla.sspace.matrix.SymmetricMatrix: Returns the number of columns in this Matrix.
columns() - Method in class edu.ucla.sspace.matrix.SynchronizedMatrix: Returns the number of columns in this Matrix.
columns() - Method in class edu.ucla.sspace.matrix.SynchronizedSparseMatrix: Returns the number of columns in this Matrix.
columns() - Method in class edu.ucla.sspace.matrix.TransposedMatrix: Returns the number of columns in this Matrix.
columns() - Method in class edu.ucla.sspace.matrix.YaleSparseMatrix: Returns the number of columns in this Matrix.
columns() - Method in class edu.ucla.sspace.util.SemanticSpaceMatrix: Returns the number of columns in this Matrix.
columnSums - Variable in class edu.ucla.sspace.matrix.TransformStatistics.MatrixStatistics
combine(SparseDoubleVector, SparseDoubleVector) - Method in class edu.ucla.sspace.svs.AdditionCombinor: Combines features from v1 and v2 to produce a new vector.
combine(SparseDoubleVector, SparseDoubleVector) - Method in class edu.ucla.sspace.svs.PointWiseCombinor: Combines features from v1 and v2 to produce a new vector.
combine(SparseDoubleVector, SparseDoubleVector) - Method in interface edu.ucla.sspace.svs.VectorCombinor: Combines features from v1 and v2 to produce a new vector.
combine(TokenFilter) - Method in class edu.ucla.sspace.text.TokenFilter: Creates a chained filter by accepting the subset of whatever parent accepts less what tokens this filter rejects.
CombinedIterator<T> - Class in edu.ucla.sspace.util: An Iterator implemntation that combines multiple iterators into a single instance.
CombinedIterator(Iterator<T>...) - Constructor for class edu.ucla.sspace.util.CombinedIterator: Constructs a CombinedIterator from all of the provided iterators.
CombinedIterator(Collection<Iterator<T>>) - Constructor for class edu.ucla.sspace.util.CombinedIterator: Constructs a CombinedIterator from all of the iterators in the provided collection.
CombinedSet<T> - Class in edu.ucla.sspace.util
CombinedSet(Set<T>...) - Constructor for class edu.ucla.sspace.util.CombinedSet
CombinedSet(Collection<? extends Set<T>>) - Constructor for class edu.ucla.sspace.util.CombinedSet
combineUnmodified(SparseDoubleVector, SparseDoubleVector) - Method in class edu.ucla.sspace.svs.AdditionCombinor: Combines features from v1 and v2 to produce a new vector.
combineUnmodified(SparseDoubleVector, SparseDoubleVector) - Method in class edu.ucla.sspace.svs.PointWiseCombinor: Combines features from v1 and v2 to produce a new vector.
combineUnmodified(SparseDoubleVector, SparseDoubleVector) - Method in interface edu.ucla.sspace.svs.VectorCombinor: Combines features from v1 and v2 to produce a new vector.
COMMITTEE_SIMILARITY_THRESHOLD_PROPERTY - Static variable in class edu.ucla.sspace.clustering.ClusteringByCommittee: The property to specify during Phase II.3 what is the maximum similarity between two committees above which a new committee will not be included.
CompactIntSet - Class in edu.ucla.sspace.util.primitive: A BitSet-backed Set implementation for storing non-negative int values.
CompactIntSet() - Constructor for class edu.ucla.sspace.util.primitive.CompactIntSet: Creates a new, empty set of int values.
CompactIntSet(Collection<Integer>) - Constructor for class edu.ucla.sspace.util.primitive.CompactIntSet: Creates a new set containing all of the specified int values.
CompactSparseIntegerVector - Class in edu.ucla.sspace.vector: A sparse IntegerVector class whose data is back by a compact sparse array.
CompactSparseIntegerVector(int) - Constructor for class edu.ucla.sspace.vector.CompactSparseIntegerVector: Creates a new vector of the specified length
CompactSparseIntegerVector(IntegerVector) - Constructor for class edu.ucla.sspace.vector.CompactSparseIntegerVector: Creates a new vector using the values of the specified vector.
CompactSparseIntegerVector(int[]) - Constructor for class edu.ucla.sspace.vector.CompactSparseIntegerVector: Creates a new vector using the non-zero values of the specified array.
CompactSparseVector - Class in edu.ucla.sspace.vector: A Vector instance that keeps only the non-zero values in memory, thereby saving space at the expense of time.
CompactSparseVector() - Constructor for class edu.ucla.sspace.vector.CompactSparseVector: Creates a CompactSparseVector that grows to the maximum size set by Double.MAX_VALUE.
CompactSparseVector(int) - Constructor for class edu.ucla.sspace.vector.CompactSparseVector: Create a CompactSparseVector with the given size, having no non-zero values.
CompactSparseVector(double[]) - Constructor for class edu.ucla.sspace.vector.CompactSparseVector: Create a CompactSparseVector from an array, saving only the non zero entries.
CompactSparseVector(SparseDoubleVector) - Constructor for class edu.ucla.sspace.vector.CompactSparseVector: Create a CompactSparseVector from an array, saving only the non zero entries.
CompactSparseVector(int[], double[], int) - Constructor for class edu.ucla.sspace.vector.CompactSparseVector: Create a CompactSparseVector using the indices and their respecitve values.
comparator() - Method in interface edu.ucla.sspace.util.SortedMultiMap: Returns the comparator used to order the keys in this map, or null if this map uses the natural ordering of its keys.
comparator() - Method in class edu.ucla.sspace.util.TreeMultiMap: Returns the comparator used to order the keys in this map, or null if this map uses the natural ordering of its keys.
compareTo(Object) - Method in class edu.ucla.sspace.clustering.BaseSpectralCut.Index
compareWithVector(T) - Method in class edu.ucla.sspace.clustering.CentroidCluster: Returns the similarity between this Cluster and vector.
compareWithVector(T) - Method in interface edu.ucla.sspace.clustering.Cluster: Returns the similarity between this Cluster and vector.
compareWithVector(T) - Method in class edu.ucla.sspace.clustering.SynchronizedCluster: Returns the similarity between this Cluster and vector.
comparisonCount(int[]) - Static method in class edu.ucla.sspace.clustering.BaseSpectralCut: Returns the number of comparisons made for a cluster.
completeCentroid - Variable in class edu.ucla.sspace.clustering.criterion.HybridBaseFunction: The summation vector of all data points.
ComplexDouble2DFFT - Class in jnt.FFT: Computes the FFT of 2 dimensional complex, double precision data.
ComplexDouble2DFFT(int, int) - Constructor for class jnt.FFT.ComplexDouble2DFFT: Create an FFT for transforming nrows*ncols points of Complex, double precision data.
ComplexDoubleFFT - Class in jnt.FFT: Abstract Class representing FFT's of complex, double precision data.
ComplexDoubleFFT(int) - Constructor for class jnt.FFT.ComplexDoubleFFT: Create an FFT for transforming n points of complex, double precision data.
ComplexDoubleFFT_Mixed - Class in jnt.FFT: Computes FFT's of complex, double precision data of arbitrary length n.
ComplexDoubleFFT_Mixed(int) - Constructor for class jnt.FFT.ComplexDoubleFFT_Mixed
ComplexDoubleFFT_Radix2 - Class in jnt.FFT: Computes FFT's of complex, double precision data where n is an integer power of 2.
ComplexDoubleFFT_Radix2(int) - Constructor for class jnt.FFT.ComplexDoubleFFT_Radix2
ComplexFloat2DFFT - Class in jnt.FFT: Computes the FFT of 2 dimensional complex, single precision data.
ComplexFloat2DFFT(int, int) - Constructor for class jnt.FFT.ComplexFloat2DFFT: Create an FFT for transforming nrows*ncols points of Complex, double precision data.
ComplexFloatFFT - Class in jnt.FFT: Abstract Class representing FFT's of complex, single precision data.
ComplexFloatFFT(int) - Constructor for class jnt.FFT.ComplexFloatFFT: Create an FFT for transforming n points of Complex, single precision data.
ComplexFloatFFT_Mixed - Class in jnt.FFT: Computes FFT's of complex, single precision data of arbitrary length n.
ComplexFloatFFT_Mixed(int) - Constructor for class jnt.FFT.ComplexFloatFFT_Mixed
ComplexFloatFFT_Radix2 - Class in jnt.FFT: Computes FFT's of complex, single precision data where n is an integer power of 2.
ComplexFloatFFT_Radix2(int) - Constructor for class jnt.FFT.ComplexFloatFFT_Radix2
COMPOUND_TOKENS_FILE_PROPERTY - Static variable in class edu.ucla.sspace.text.IteratorFactory: Specifies the name of a file that contains all the recognized compound tokens
COMPOUND_WORDS_DESCRIPTION - Static variable in class edu.ucla.sspace.mains.OptionDescriptions: A description of the file used to specify compound words.
CompoundWordIterator - Class in edu.ucla.sspace.text: An iterator over all the tokens in a stream, which supports tokenizing predetermined n-grams as single tokens.
CompoundWordIterator(String, Set<String>) - Constructor for class edu.ucla.sspace.text.CompoundWordIterator
CompoundWordIterator(BufferedReader, Set<String>) - Constructor for class edu.ucla.sspace.text.CompoundWordIterator
CompoundWordIterator(Iterator<String>, Set<String>) - Constructor for class edu.ucla.sspace.text.CompoundWordIterator
compute(Graph<E>) - Method in class edu.ucla.sspace.graph.BetweennessCentrality: Returns a mapping from each vertex to its betweenness centrality measure.
compute(Matrix, KrippendorffsAlpha.DifferenceFunction) - Method in class edu.ucla.sspace.util.KrippendorffsAlpha
computeAssociation(SemanticSpace, String, String) - Method in class edu.ucla.sspace.evaluation.AbstractWordAssociationTest: Returns the association of the two words on a scale of 0 to 1.
computeAssociation(SemanticSpace, String, String) - Method in class edu.ucla.sspace.evaluation.DeeseAntonymEvaluation: Returns the association of the two words on a scale of 0 to 1.
computeConfidenceIntervals(Matrix, KrippendorffsAlpha.DifferenceFunction, int, double[]) - Method in class edu.ucla.sspace.util.KrippendorffsAlpha
computeCut(Matrix) - Method in class edu.ucla.sspace.clustering.BaseSpectralCut: Compute the cut with the lowest conductance for the data set.
computeCut(Matrix, DoubleVector, double, DoubleVector) - Static method in class edu.ucla.sspace.clustering.BaseSpectralCut: Returns the index at which matrix should be cut such that the conductance between the two partitions is minimized.
computeCut(Matrix) - Method in interface edu.ucla.sspace.clustering.EigenCut: Compute the cut with the lowest conductance for the data set.
computeDensity(int, int) - Method in class edu.ucla.sspace.graph.LinkClustering: Computes the density of the provided partition of edges
computeMatrixDotV(Matrix, DoubleVector, DoubleVector) - Static method in class edu.ucla.sspace.clustering.BaseSpectralCut: Computes the dot product between a given matrix and a given vector newV.
computeMatrixRowSum(T) - Static method in class edu.ucla.sspace.clustering.BaseSpectralCut: Compute the row sums of the values in matrix and returns the values in a vector of length matrix.columns().
computeMatrixTransposeV(Matrix, DoubleVector) - Static method in class edu.ucla.sspace.clustering.BaseSpectralCut: Returns the dot product between the transpose of a given matrix and a given vector.
computePriming(SemanticSpace, String, String) - Method in class edu.ucla.sspace.evaluation.AbstractWordPrimingTest: Returns the association of the two words on a scale of 0 to 1.
computePriming(SemanticSpace, String, String) - Method in class edu.ucla.sspace.evaluation.OnePairPerLinePrimingTest: Returns the association of the two words on a scale of 0 to 1.
computeRhoSum(Matrix) - Method in class edu.ucla.sspace.clustering.BaseSpectralCut: Computes the similarity between each data point and centroid of the data set.
computeRhoSum(Matrix) - Method in interface edu.ucla.sspace.clustering.EigenCut: Computes the similarity between each data point and centroid of the data set.
computeScore(double[], double[]) - Method in class edu.ucla.sspace.evaluation.AbstractWordAssociationTest: Returns the correlation between the computer generated scores and the human evaluated scores.
computeScore(double[], double[]) - Method in class edu.ucla.sspace.evaluation.DeeseAntonymEvaluation: Returns the average computer generated score on the Deese Antonymy test.
computeSecondEigenVector(Matrix, int) - Method in class edu.ucla.sspace.clustering.BaseSpectralCut: Returns a DoubleVector representing the secord largest eigen vector for the data set.
computeSecondEigenVector(Matrix, int) - Method in class edu.ucla.sspace.clustering.CKVWSpectralClustering03.SpectralCut: Returns a DoubleVector representing the secord largest eigen vector for the data set.
computeSecondEigenVector(Matrix, int) - Method in class edu.ucla.sspace.clustering.CKVWSpectralClustering06.SuperSpectralCut: Returns a DoubleVector representing the secord largest eigen vector for the data set.
computeStrength(SemanticSpace, String, String) - Method in class edu.ucla.sspace.evaluation.AbstractNormedWordPrimingTest: Returns the association of the two words on a scale of 0 to 1.
computeStrength(SemanticSpace, String, String) - Method in class edu.ucla.sspace.evaluation.OneNormedQuestionPerLineTest: Returns the association of the two words on a scale of 0 to 1.
ConjunctionTransform - Class in edu.ucla.sspace.dependency: Transforms the dependency tree by adding conjunction relations between head words and a list of words joined by a conjunction.
ConjunctionTransform() - Constructor for class edu.ucla.sspace.dependency.ConjunctionTransform
CoNLLDependencyExtractor - Class in edu.ucla.sspace.dependency: A class for extracting dependency parsed sentences in the CoNLL format, which are generated by the Malt Parser.
CoNLLDependencyExtractor() - Constructor for class edu.ucla.sspace.dependency.CoNLLDependencyExtractor: Creates a new CoNLLDependencyExtractor that assumes the default ordering for Malt dependency parses.
CoNLLDependencyExtractor(TokenFilter, Stemmer) - Constructor for class edu.ucla.sspace.dependency.CoNLLDependencyExtractor: Creates a new CoNLLDependencyExtractor that assumes the default ordering for Malt dependency parses and uses the given TokenFilter and Stemmer.
CoNLLDependencyExtractor(TokenFilter, Stemmer, int, int, int, int, int, int) - Constructor for class edu.ucla.sspace.dependency.CoNLLDependencyExtractor: Creates a new CoNLLDependencyExtractor that assumes the default ordering for Malt dependency parses and uses the given TokenFilter and Stemmer and the given indices for each feature.
CoNLLDependencyExtractor(String) - Constructor for class edu.ucla.sspace.dependency.CoNLLDependencyExtractor: Creates a new CoNLLDependencyExtractor by parsing a Malt configuration file, which specifies the order in which the output is formatted.
CoNLLDependencyExtractor(String, TokenFilter, Stemmer) - Constructor for class edu.ucla.sspace.dependency.CoNLLDependencyExtractor: Creates a new CoNLLDependencyExtractor by parsing a Malt configuration file, which specifies the order in which the output is formatted and uses the given TokenFilter and Stemmer.
connected() - Method in interface edu.ucla.sspace.graph.EdgeSet: Returns the set of vertices connected to the root edges.
connected() - Method in class edu.ucla.sspace.graph.GenericEdgeSet: Returns the set of vertices connected to the root edges.
connected() - Method in class edu.ucla.sspace.graph.SparseDirectedEdgeSet: Returns the set of vertices connected to the root edges.
connected() - Method in class edu.ucla.sspace.graph.SparseDirectedTypedEdgeSet: Returns the set of vertices connected to the root edges.
connected() - Method in class edu.ucla.sspace.graph.SparseTypedEdgeSet: Returns the set of vertices connected to the root edges.
connected() - Method in class edu.ucla.sspace.graph.SparseUndirectedEdgeSet: Returns the set of vertices connected to the root edges.
connected() - Method in class edu.ucla.sspace.graph.SparseWeightedDirectedTypedEdgeSet: Returns the set of vertices connected to the root edges.
connected() - Method in class edu.ucla.sspace.graph.SparseWeightedEdgeSet: Returns the set of vertices connected to the root edges.
connects(int) - Method in interface edu.ucla.sspace.graph.EdgeSet: Returns true if the root vertex is connected to the provided vertex.
connects(int) - Method in class edu.ucla.sspace.graph.GenericEdgeSet: Returns true if the root vertex is connected to the provided vertex.
connects(int) - Method in class edu.ucla.sspace.graph.SparseDirectedEdgeSet: Returns true if the root vertex is connected to the provided vertex.
connects(int) - Method in class edu.ucla.sspace.graph.SparseDirectedTypedEdgeSet: Returns true if the root vertex is connected to the provided vertex.
connects(int, T) - Method in class edu.ucla.sspace.graph.SparseDirectedTypedEdgeSet
connects(int) - Method in class edu.ucla.sspace.graph.SparseTypedEdgeSet: Returns true if the root vertex is connected to the provided vertex.
connects(int, T) - Method in class edu.ucla.sspace.graph.SparseTypedEdgeSet
connects(int) - Method in class edu.ucla.sspace.graph.SparseUndirectedEdgeSet: Returns true if the root vertex is connected to the provided vertex.
connects(int) - Method in class edu.ucla.sspace.graph.SparseWeightedDirectedTypedEdgeSet: Returns true if the root vertex is connected to the provided vertex.
connects(int, T) - Method in class edu.ucla.sspace.graph.SparseWeightedDirectedTypedEdgeSet
connects(int) - Method in class edu.ucla.sspace.graph.SparseWeightedEdgeSet: Returns true if the root vertex is connected to the provided vertex.
contains(int) - Method in class edu.ucla.sspace.graph.AbstractGraph: Returns true if this graph a vertex with the specified index
contains(int, int) - Method in class edu.ucla.sspace.graph.AbstractGraph: Returns true if this graph contains an edge between from and to.
contains(Edge) - Method in class edu.ucla.sspace.graph.AbstractGraph: Returns true if this graph contains an edge of the specific type between vertex1 and vertex2.
contains(int, int) - Method in class edu.ucla.sspace.graph.AbstractGraph.Subgraph: Returns true if this graph contains an edge between from and to.
contains(Edge) - Method in class edu.ucla.sspace.graph.AbstractGraph.Subgraph: Returns true if this graph contains an edge of the specific type between vertex1 and vertex2.
contains(int) - Method in class edu.ucla.sspace.graph.AbstractGraph.Subgraph: Returns true if this graph a vertex with the specified index
contains(int) - Method in class edu.ucla.sspace.graph.DirectedMultigraph: Returns true if this graph a vertex with the specified index
contains(Edge) - Method in class edu.ucla.sspace.graph.DirectedMultigraph: Returns true if this graph contains an edge of the specific type between vertex1 and vertex2.
contains(int, int) - Method in class edu.ucla.sspace.graph.DirectedMultigraph: Returns true if this graph contains an edge between from and to.
contains(int, int, T) - Method in class edu.ucla.sspace.graph.DirectedMultigraph: Returns true if there exists an edge between vertex1 and vertex2 of the specified type.
contains(Object) - Method in class edu.ucla.sspace.graph.GenericEdgeSet
contains(int) - Method in interface edu.ucla.sspace.graph.Graph: Returns true if this graph a vertex with the specified index
contains(int, int) - Method in interface edu.ucla.sspace.graph.Graph: Returns true if this graph contains an edge between from and to.
contains(Edge) - Method in interface edu.ucla.sspace.graph.Graph: Returns true if this graph contains an edge of the specific type between vertex1 and vertex2.
contains(int) - Method in class edu.ucla.sspace.graph.GraphAdaptor: Returns true if this graph a vertex with the specified index
contains(int, int) - Method in class edu.ucla.sspace.graph.GraphAdaptor: Returns true if this graph contains an edge between from and to.
contains(Edge) - Method in class edu.ucla.sspace.graph.GraphAdaptor: Returns true if this graph contains an edge of the specific type between vertex1 and vertex2.
contains(Object) - Method in class edu.ucla.sspace.graph.isomorphism.IsomorphicSet
contains(G) - Method in class edu.ucla.sspace.graph.isomorphism.TypedIsomorphicGraphIndexer: Returns true if the item has a corresponding index
contains(L) - Method in class edu.ucla.sspace.graph.LabeledGraph
contains(int, int, T) - Method in interface edu.ucla.sspace.graph.Multigraph: Returns true if there exists an edge between vertex1 and vertex2 of the specified type.
contains(Object) - Method in class edu.ucla.sspace.graph.SparseDirectedEdgeSet
contains(Object) - Method in class edu.ucla.sspace.graph.SparseDirectedTypedEdgeSet
contains(Object) - Method in class edu.ucla.sspace.graph.SparseTypedEdgeSet
contains(Object) - Method in class edu.ucla.sspace.graph.SparseUndirectedEdgeSet
contains(Object) - Method in class edu.ucla.sspace.graph.SparseWeightedDirectedTypedEdgeSet
contains(Object) - Method in class edu.ucla.sspace.graph.SparseWeightedEdgeSet
contains(int) - Method in class edu.ucla.sspace.graph.UndirectedMultigraph: Returns true if this graph a vertex with the specified index
contains(Edge) - Method in class edu.ucla.sspace.graph.UndirectedMultigraph: Returns true if this graph contains an edge of the specific type between vertex1 and vertex2.
contains(int, int) - Method in class edu.ucla.sspace.graph.UndirectedMultigraph: Returns true if this graph contains an edge between from and to.
contains(int, int, T) - Method in class edu.ucla.sspace.graph.UndirectedMultigraph: Returns true if there exists an edge between vertex1 and vertex2 of the specified type.
contains(int) - Method in class edu.ucla.sspace.graph.WeightedDirectedMultigraph: Returns true if this graph a vertex with the specified index
contains(Edge) - Method in class edu.ucla.sspace.graph.WeightedDirectedMultigraph: Returns true if this graph contains an edge of the specific type between vertex1 and vertex2.
contains(int, int) - Method in class edu.ucla.sspace.graph.WeightedDirectedMultigraph: Returns true if this graph contains an edge between from and to.
contains(int, int, T) - Method in class edu.ucla.sspace.graph.WeightedDirectedMultigraph: Returns true if there exists an edge between vertex1 and vertex2 of the specified type.
contains(Object) - Method in class edu.ucla.sspace.util.CombinedSet: Returns true if at least one of the sets in this CombinedSet has the provided element.
contains(Object) - Method in class edu.ucla.sspace.util.DisjointSets: Returns true if at least one of the sets in this DisjointSets has the provided element.
contains(T) - Method in class edu.ucla.sspace.util.HashIndexer: Returns true if the item has a corresponding index
contains(T) - Method in interface edu.ucla.sspace.util.Indexer: Returns true if the item has a corresponding index
contains(T) - Method in class edu.ucla.sspace.util.ObjectIndexer: Returns true if the item has a corresponding index
contains(Object) - Method in class edu.ucla.sspace.util.OpenIntSet
contains(int) - Method in class edu.ucla.sspace.util.OpenIntSet
contains(Integer) - Method in class edu.ucla.sspace.util.primitive.CompactIntSet
contains(int) - Method in class edu.ucla.sspace.util.primitive.CompactIntSet
contains(int) - Method in interface edu.ucla.sspace.util.primitive.IntCollection
contains(int) - Method in interface edu.ucla.sspace.util.primitive.IntSet
contains(int) - Method in class edu.ucla.sspace.util.primitive.TroveIntSet
contains(Object) - Method in class edu.ucla.sspace.util.SetDecorator
contains(Object) - Method in class edu.ucla.sspace.util.TrieSet: Returns true if this set contains the specified element.
containsAll(IntCollection) - Method in class edu.ucla.sspace.util.primitive.AbstractIntSet
containsAll(IntCollection) - Method in interface edu.ucla.sspace.util.primitive.IntCollection
containsAll(IntCollection) - Method in interface edu.ucla.sspace.util.primitive.IntSet
containsAll(Collection<?>) - Method in class edu.ucla.sspace.util.SetDecorator
containsEdge(int, int, Calendar) - Method in interface edu.ucla.sspace.graph.DynamicGraph: Returns true if this graph contains an edge between vertex1 and vertex2.
containsEdge(int, int, Date) - Method in interface edu.ucla.sspace.graph.DynamicGraph
containsEdge(int, int, long) - Method in interface edu.ucla.sspace.graph.DynamicGraph
containsKey(Object) - Method in class edu.ucla.sspace.util.ArrayMap
containsKey(Object) - Method in class edu.ucla.sspace.util.CharMap: Returns true if this map contains a mapping for the specified key.
containsKey(Object) - Method in class edu.ucla.sspace.util.GeneratorMap
containsKey(Object) - Method in class edu.ucla.sspace.util.HashBiMap
containsKey(Object) - Method in class edu.ucla.sspace.util.HashMultiMap: Returns true if this multi-map contains a mapping for the specified key.
containsKey(Object) - Method in class edu.ucla.sspace.util.IntegerMap: Returns true if this map contains a mapping for the specified key.
containsKey(Object) - Method in interface edu.ucla.sspace.util.MultiMap: Returns true if this multi-map contains a mapping for the specified key.
containsKey(int) - Method in class edu.ucla.sspace.util.primitive.IntIntHashMultiMap: Returns true if this multi-map contains a mapping for the specified key.
containsKey(Object) - Method in class edu.ucla.sspace.util.primitive.IntIntHashMultiMap: Returns true if this multi-map contains a mapping for the specified key.
containsKey(int) - Method in interface edu.ucla.sspace.util.primitive.IntIntMultiMap: Returns true if this multi-map contains a mapping for the specified key.
containsKey(Object) - Method in class edu.ucla.sspace.util.TreeMultiMap: Returns true if this multi-map contains a mapping for the specified key.
containsKey(Object) - Method in class edu.ucla.sspace.util.TrieMap: Returns true if this map contains a mapping for the specified key.
containsMapping(Object, Object) - Method in class edu.ucla.sspace.util.HashMultiMap: Returns true if this multi-map contains a mapping from specified key to the specified value.
containsMapping(Object, Object) - Method in interface edu.ucla.sspace.util.MultiMap: Returns true if this multi-map contains a mapping from specified key to the specified value.
containsMapping(int, int) - Method in class edu.ucla.sspace.util.primitive.IntIntHashMultiMap: Returns true if this multi-map contains a mapping from specified key to the specified value.
containsMapping(Object, Object) - Method in class edu.ucla.sspace.util.primitive.IntIntHashMultiMap: Returns true if this multi-map contains a mapping from specified key to the specified value.
containsMapping(int, int) - Method in interface edu.ucla.sspace.util.primitive.IntIntMultiMap: Returns true if this multi-map contains a mapping from specified key to the specified value.
containsMapping(Object, Object) - Method in class edu.ucla.sspace.util.TreeMultiMap: Returns true if this multi-map contains a mapping from specified key to the specified value.
containsValue(Object) - Method in class edu.ucla.sspace.util.ArrayMap
containsValue(Object) - Method in class edu.ucla.sspace.util.CharMap
containsValue(Object) - Method in class edu.ucla.sspace.util.GeneratorMap
containsValue(Object) - Method in class edu.ucla.sspace.util.HashBiMap
containsValue(Object) - Method in class edu.ucla.sspace.util.HashMultiMap: Returns true if this multi-map contains from any key to the specified value.
containsValue(Object) - Method in class edu.ucla.sspace.util.IntegerMap
containsValue(Object) - Method in interface edu.ucla.sspace.util.MultiMap: Returns true if this multi-map contains from any key to the specified value.
containsValue(int) - Method in class edu.ucla.sspace.util.primitive.IntIntHashMultiMap: Returns true if this multi-map contains from any key to the specified value.
containsValue(Object) - Method in class edu.ucla.sspace.util.primitive.IntIntHashMultiMap: Returns true if this multi-map contains from any key to the specified value.
containsValue(int) - Method in interface edu.ucla.sspace.util.primitive.IntIntMultiMap: Returns true if this multi-map contains from any key to the specified value.
containsValue(Object) - Method in class edu.ucla.sspace.util.TreeMultiMap: Returns true if this multi-map contains from any key to the specified value.
CONTEXT_SIZE - Static variable in class edu.ucla.sspace.beagle.Beagle: The full context size used when scanning the corpus.
ContextExtractor - Interface in edu.ucla.sspace.wordsi: An interface for extracting context vectors from a document and passing on the vector to a Wordsi implementation.
contextExtractorFromGenerator(ContextGenerator) - Method in class edu.ucla.sspace.mains.GenericWordsiMain: Returns a ContextExtractor that uses the given ContextGenerator which will process the corpus in the format specified by the command line.
ContextGenerator - Interface in edu.ucla.sspace.wordsi: An interface for generating context vectors from raw unparsed text.
contextLabels(String) - Method in interface edu.ucla.sspace.wordsi.AssignmentReporter: Returns the secondary keys assigned to this primaryKey based on their associated context ids.
contextLabels(String) - Method in class edu.ucla.sspace.wordsi.psd.PseudoWordReporter: Return an array mapping context ids to secondary keys.
contextLabels(String) - Method in class edu.ucla.sspace.wordsi.semeval.SemEvalReporter: Returns the secondary keys assigned to this primaryKey based on their associated context ids.
contextualize(String, String, String, boolean) - Method in class edu.ucla.sspace.svs.StructuredVectorSpace
ConvertCorpusToOneSentencePerLine - Class in edu.ucla.sspace.tools: A utility tool for converting a corpus into a one-sentence-per-line format.
ConvertCorpusToOneSentencePerLine() - Constructor for class edu.ucla.sspace.tools.ConvertCorpusToOneSentencePerLine
convertFormat(File, MatrixIO.Format, MatrixIO.Format) - Static method in class edu.ucla.sspace.matrix.MatrixIO: Converts the format of the input matrix, returning a temporary file containing the matrix's data in the desired format.
convertFormat(File, MatrixIO.Format, MatrixIO.Format, boolean) - Static method in class edu.ucla.sspace.matrix.MatrixIO: Converts the format of the input matrix, returning a temporary file containing the matrix's data in the desired format.
copy() - Method in class edu.ucla.sspace.dependency.SimpleDependencyPath: Returns a copy of this dependency path
copy(Set<Integer>) - Method in class edu.ucla.sspace.graph.AbstractGraph: Creates a copy of this graph containing only the specified number of vertices and all edges between those vertices.
copy(Set<Integer>) - Method in class edu.ucla.sspace.graph.AbstractGraph.Subgraph
copy(Set<Integer>) - Method in interface edu.ucla.sspace.graph.DirectedGraph: Creates a copy of this graph containing only the specified number of vertices and all edges between those vertices.
copy(Set<Integer>) - Method in class edu.ucla.sspace.graph.DirectedMultigraph: Creates a copy of this graph containing only the specified number of vertices and all edges between those vertices.
copy(IntSet) - Method in interface edu.ucla.sspace.graph.EdgeSet: Copies the edges in this set that are connected to any of the vertices in the provided set.
copy(IntSet) - Method in class edu.ucla.sspace.graph.GenericEdgeSet: Copies the edges in this set that are connected to any of the vertices in the provided set.
copy(Set<Integer>) - Method in class edu.ucla.sspace.graph.GenericGraph: Creates a copy of this graph containing only the specified number of vertices and all edges between those vertices.
copy(Set<Integer>) - Method in interface edu.ucla.sspace.graph.Graph: Creates a copy of this graph containing only the specified number of vertices and all edges between those vertices.
copy(Set<Integer>) - Method in class edu.ucla.sspace.graph.GraphAdaptor: Creates a copy of this graph containing only the specified number of vertices and all edges between those vertices.
copy() - Method in interface edu.ucla.sspace.graph.isomorphism.State: Makes a shallow copy of the content of this state.
copy() - Method in class edu.ucla.sspace.graph.isomorphism.TypedVF2State: Makes a shallow copy of the content of this state.
copy() - Method in class edu.ucla.sspace.graph.isomorphism.VF2State: Makes a shallow copy of the content of this state.
copy(Set<Integer>) - Method in class edu.ucla.sspace.graph.LabeledGraph: Creates a copy of this graph containing only the specified number of vertices and all edges between those vertices.
copy(Set<Integer>) - Method in interface edu.ucla.sspace.graph.Multigraph: Creates a copy of this graph containing only the specified number of vertices and all edges between those vertices.
copy(IntSet) - Method in class edu.ucla.sspace.graph.SparseDirectedEdgeSet: Copies the edges in this set that are connected to any of the vertices in the provided set.
copy(Set<Integer>) - Method in class edu.ucla.sspace.graph.SparseDirectedGraph: Creates a copy of this graph containing only the specified number of vertices and all edges between those vertices.
copy(IntSet) - Method in class edu.ucla.sspace.graph.SparseDirectedTypedEdgeSet: Copies the edges in this set that are connected to any of the vertices in the provided set.
copy(IntSet) - Method in class edu.ucla.sspace.graph.SparseTypedEdgeSet: Copies the edges in this set that are connected to any of the vertices in the provided set.
copy(IntSet) - Method in class edu.ucla.sspace.graph.SparseUndirectedEdgeSet: Copies the edges in this set that are connected to any of the vertices in the provided set.
copy(Set<Integer>) - Method in class edu.ucla.sspace.graph.SparseUndirectedGraph: Creates a copy of this graph containing only the specified number of vertices and all edges between those vertices.
copy(IntSet) - Method in class edu.ucla.sspace.graph.SparseWeightedDirectedTypedEdgeSet
copy(IntSet) - Method in class edu.ucla.sspace.graph.SparseWeightedEdgeSet: Copies the edges in this set that are connected to any of the vertices in the provided set.
copy(Set<Integer>) - Method in class edu.ucla.sspace.graph.SparseWeightedGraph: Creates a copy of this graph containing only the specified number of vertices and all edges between those vertices.
copy(Set<Integer>) - Method in class edu.ucla.sspace.graph.UndirectedMultigraph: Creates a copy of this graph containing only the specified number of vertices and all edges between those vertices.
copy(Set<Integer>) - Method in class edu.ucla.sspace.graph.WeightedDirectedMultigraph: Creates a copy of this graph containing only the specified number of vertices and all edges between those vertices.
copy(Set<Integer>) - Method in interface edu.ucla.sspace.graph.WeightedGraph: Creates a copy of this graph containing only the specified number of vertices and all edges between those vertices.
copy(Matrix) - Static method in class edu.ucla.sspace.matrix.Matrices: Returns a copied version of a given matrix.
copy(Vector, Vector) - Static method in class edu.ucla.sspace.vector.Vectors: Copies all of the values from one Vector into another.
copy_from(SnowballProgram) - Method in class org.tartarus.snowball.SnowballProgram
copyOf(DoubleVector) - Static method in class edu.ucla.sspace.vector.Vectors: Creates a copy of a given DoubleVector with the same type as the original.
copyOf(Vector) - Static method in class edu.ucla.sspace.vector.Vectors: Creates a copy of a given Vector.
copyOf(IntegerVector) - Static method in class edu.ucla.sspace.vector.Vectors: Creates a copy of a given IntegerVector with the same type as the original.
copyTo(Matrix, Matrix) - Static method in class edu.ucla.sspace.matrix.Matrices: Copies values from matrix to output and returns output.
corpusIterator(Iterator<File>) - Method in class edu.ucla.sspace.text.BloglinesCorpusReader
corpusIterator(Iterator<File>) - Method in class edu.ucla.sspace.text.ChildesCorpusReader
corpusIterator(Iterator<File>) - Method in class edu.ucla.sspace.text.corpora.BloglinesCorpusReader: Returns an Iterator over documents contained in the Files traversed by fileIter.
corpusIterator(Iterator<File>) - Method in class edu.ucla.sspace.text.corpora.ChildesCorpusReader: Returns an Iterator over documents contained in the Files traversed by fileIter.
corpusIterator(Iterator<File>) - Method in class edu.ucla.sspace.text.corpora.TemporalBloglinesCorpusReader: Returns an Iterator over documents contained in the Files traversed by fileIter.
corpusIterator(Iterator<File>) - Method in class edu.ucla.sspace.text.corpora.TemporalUsenetCorpusReader
corpusIterator(Iterator<File>) - Method in class edu.ucla.sspace.text.corpora.UsenetCorpusReader
corpusIterator(Iterator<File>) - Method in class edu.ucla.sspace.text.DirectoryCorpusReader: Returns an Iterator over documents contained in the Files traversed by fileIter.
corpusIterator(Iterator<File>) - Method in class edu.ucla.sspace.text.SenseEvalDependencyCorpusReader
corpusIterator(Iterator<File>) - Method in class edu.ucla.sspace.text.UsenetCorpusReader
CorpusReader<D extends Document> - Interface in edu.ucla.sspace.text: A basic interface for setting up a CorpusReader, which reads un cleaned text from corpus files and transforms them into an appropriately cleaned Document instance.
correctAnswers() - Method in interface edu.ucla.sspace.evaluation.WordChoiceReport: Returns the number of questions that were answered correctly.
correlation(double[], double[]) - Static method in class edu.ucla.sspace.common.Similarity: Returns the Pearson product-moment correlation coefficient of the two arrays.
correlation(int[], int[]) - Static method in class edu.ucla.sspace.common.Similarity: Returns the Pearson product-moment correlation coefficient of the two arrays.
correlation(DoubleVector, DoubleVector) - Static method in class edu.ucla.sspace.common.Similarity: Returns the Pearson product-moment correlation coefficient of the two Vectors.
correlation(IntegerVector, DoubleVector) - Static method in class edu.ucla.sspace.common.Similarity: Returns the Pearson product-moment correlation coefficient of the two Vectors.
correlation(Vector, Vector) - Static method in class edu.ucla.sspace.common.Similarity: Returns the Pearson product-moment correlation coefficient of the two Vectors.
correlation() - Method in class edu.ucla.sspace.evaluation.SimpleWordAssociationReport: Returns the correlation between the similarity judgemnts from a SemanticSpace similarity and the provided human similarity judgements.
correlation() - Method in interface edu.ucla.sspace.evaluation.WordAssociationReport: Returns the correlation between the similarity judgemnts from a SemanticSpace similarity and the provided human similarity judgements.
correlation() - Method in interface edu.ucla.sspace.evaluation.WordSimilarityReport: Returns the correlation between the similarity judgemnts from a SemanticSpace similarity and the provided human similarity judgements.
CorrelationTransform - Class in edu.ucla.sspace.matrix: Transforms a matrix using row correlation weighting.
CorrelationTransform() - Constructor for class edu.ucla.sspace.matrix.CorrelationTransform
CorrelationTransform.CorrelationGlobalTransform - Class in edu.ucla.sspace.matrix
CorrelationTransform.CorrelationGlobalTransform(Matrix) - Constructor for class edu.ucla.sspace.matrix.CorrelationTransform.CorrelationGlobalTransform: Creates an instance of CorrelationTransform from a Matrix.
CorrelationTransform.CorrelationGlobalTransform(File, MatrixIO.Format) - Constructor for class edu.ucla.sspace.matrix.CorrelationTransform.CorrelationGlobalTransform: Creates an instance of CorrelationTransform from a File for format MatrixIO.Format.
cosineSimilarity(double[], double[]) - Static method in class edu.ucla.sspace.common.Similarity: Returns the cosine similarity of the two arrays.
cosineSimilarity(int[], int[]) - Static method in class edu.ucla.sspace.common.Similarity: Returns the cosine similarity of the two arrays.
cosineSimilarity(DoubleVector, DoubleVector) - Static method in class edu.ucla.sspace.common.Similarity: Returns the cosine similarity of the two DoubleVector.
cosineSimilarity(IntegerVector, IntegerVector) - Static method in class edu.ucla.sspace.common.Similarity: Returns the cosine similarity of the two DoubleVector.
cosineSimilarity(Vector, Vector) - Static method in class edu.ucla.sspace.common.Similarity: Returns the cosine similarity of the two DoubleVector.
CosineSimilarity - Class in edu.ucla.sspace.similarity: Returns the cosine similarity between any two Vectors.
CosineSimilarity() - Constructor for class edu.ucla.sspace.similarity.CosineSimilarity
costs - Variable in class edu.ucla.sspace.clustering.criterion.BaseFunction: The cost computed for each cluster.
count - Variable in class edu.ucla.sspace.graph.Fanmod.Result: The motif's count in the graph
count(G) - Method in class edu.ucla.sspace.graph.isomorphism.IsomorphicGraphCounter: Counts the isomorphic version of this graph, increasing the total by 1
count(G, int) - Method in class edu.ucla.sspace.graph.isomorphism.IsomorphicGraphCounter: Counts the isomorphic version of this graph, increasing its total count by the specified positive amount.
count(G) - Method in class edu.ucla.sspace.graph.isomorphism.TypedIsomorphicGraphCounter: Counts the isomorphic version of this graph, increasing the total by 1
count(G, int) - Method in class edu.ucla.sspace.graph.isomorphism.TypedIsomorphicGraphCounter: Counts the isomorphic version of this graph, increasing its total count by the specified positive amount.
count(T) - Method in interface edu.ucla.sspace.util.Counter: Counts the object, increasing its total count by 1.
count(T, int) - Method in interface edu.ucla.sspace.util.Counter: Counts the object, increasing its total count by the specified positive amount.
count(T) - Method in class edu.ucla.sspace.util.IndexedCounter: Counts the object, increasing its total count by 1.
count(T, int) - Method in class edu.ucla.sspace.util.IndexedCounter: Counts the object, increasing its total count by the specified positive amount.
count(T) - Method in class edu.ucla.sspace.util.ObjectCounter: Counts the object, increasing its total count by 1.
count(T, int) - Method in class edu.ucla.sspace.util.ObjectCounter: Counts the object, increasing its total count by the specified positive amount.
count(Pair<T>) - Method in class edu.ucla.sspace.util.PairCounter: Counts the pair of objects, increasing its total count by 1.
count(T, T) - Method in class edu.ucla.sspace.util.PairCounter: Counts the pair of objects, increasing its total count by 1.
count(Pair<T>, int) - Method in class edu.ucla.sspace.util.PairCounter: Counts the pair, increasing its total count by the specified positive amount.
count(T, T, int) - Method in class edu.ucla.sspace.util.PairCounter: Counts the pair, increasing its total count by the specified positive amount.
countAll(Collection<? extends G>) - Method in class edu.ucla.sspace.graph.isomorphism.IsomorphicGraphCounter: Counts all the elements in the collection.
countAll(Collection<? extends G>) - Method in class edu.ucla.sspace.graph.isomorphism.TypedIsomorphicGraphCounter: Counts all the elements in the collection.
countAll(Collection<? extends T>) - Method in interface edu.ucla.sspace.util.Counter: Counts all the elements in the collection.
countAll(Collection<? extends T>) - Method in class edu.ucla.sspace.util.IndexedCounter: Counts all the elements in the collection.
countAll(Collection<? extends T>) - Method in class edu.ucla.sspace.util.ObjectCounter: Counts all the elements in the collection.
countAll(Collection<? extends Pair<T>>) - Method in class edu.ucla.sspace.util.PairCounter: Counts all the elements in the collection.
Counter<T> - Interface in edu.ucla.sspace.util: A utility for counting unique instance of an object.
create(int, int, boolean) - Static method in class edu.ucla.sspace.matrix.Matrices: Creates a matrix of the given dimensions and selects the matrix implementation by considering the size and density of the new matrix with respect to the available memory for the JVM.
create(int, int, Matrix.Type) - Static method in class edu.ucla.sspace.matrix.Matrices: Creates a new Matrix based on the provided type, with the provided dimensions
createDefaultAffinityMatrixCreator() - Static method in class edu.ucla.sspace.clustering.DataMatrixLinkClustering
createEdgeSet(int) - Method in class edu.ucla.sspace.graph.AbstractGraph: Returns a EdgeSet that will be used to store the edges of the specified vertex
createEdgeSet(int) - Method in class edu.ucla.sspace.graph.GenericGraph
createEdgeSet(int) - Method in class edu.ucla.sspace.graph.SparseDirectedGraph: Creates an EdgeSet for storing DirectedEdge instances for the specified vertex.
createEdgeSet(int) - Method in class edu.ucla.sspace.graph.SparseUndirectedGraph: Creates a sparse edge set that treats all edges as symmetric.
createEdgeSet(int) - Method in class edu.ucla.sspace.graph.SparseWeightedGraph: Creates an EdgeSet for storing WeightedEdge instances for the specified vertex.
createOptions() - Method in class edu.ucla.sspace.mains.FixedDurationTemporalRandomIndexingMain: Adds all of the options to the ArgOptions.
creationDate() - Method in interface edu.ucla.sspace.text.AnnotatedDocument: Returns the timestamp when this document was created
CRITERIA_PROPERTY - Static variable in class edu.ucla.sspace.clustering.DirectClustering: The property to set the name of a CriterionFunction to use when clustering the data.
CriterionFunction - Interface in edu.ucla.sspace.clustering.criterion: This interface defines criteria methods used for DirecClustering.
cur - Variable in class edu.ucla.sspace.util.IteratorDecorator: The element that was just returned or null if no elements have been returned yet or if the current element was removed via IteratorDecorator.remove().
current - Variable in class org.tartarus.snowball.SnowballProgram
currentSlice - Variable in class edu.ucla.sspace.tri.OrderedTemporalRandomIndexing: The current semantic slice, which is updated as new documents are processed and has its semantics cleared when OrderedTemporalRandomIndexing.shouldPartitionSpace(long) returns true.
cursor - Variable in class org.tartarus.snowball.SnowballProgram

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