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B

backingMatrix() - Method in class edu.ucla.sspace.matrix.RowMaskedMatrix
Returns the backingMatrix that is being masked.
backTrack() - Method in interface edu.ucla.sspace.graph.isomorphism.State
Undoes the mapping added in the prior call to addPair.
backTrack() - Method in class edu.ucla.sspace.graph.isomorphism.TypedVF2State
Undoes the mapping added in the prior call to addPair.
backTrack() - Method in class edu.ucla.sspace.graph.isomorphism.VF2State
Undoes the mapping added in the prior call to addPair.
backtransform(DoubleVector) - Static method in class edu.ucla.sspace.fft.FastFourierTransform
Compute the (unnomalized) inverse FFT of data, leaving it in place.
backtransform(double[]) - Method in class jnt.FFT.ComplexDouble2DFFT
Compute the (unnomalized) inverse FFT of data, leaving it in place.
backtransform(double[], int) - Method in class jnt.FFT.ComplexDouble2DFFT
Compute the (unnomalized) inverse FFT of data, leaving it in place.
backtransform(double[]) - Method in class jnt.FFT.ComplexDoubleFFT
Compute the (unnomalized) inverse FFT of data, leaving it in place.
backtransform(double[], int, int) - Method in class jnt.FFT.ComplexDoubleFFT
Compute the (unnomalized) inverse FFT of data, leaving it in place.
backtransform(double[], int, int) - Method in class jnt.FFT.ComplexDoubleFFT_Mixed
 
backtransform(double[], int, int) - Method in class jnt.FFT.ComplexDoubleFFT_Radix2
 
backtransform(float[]) - Method in class jnt.FFT.ComplexFloat2DFFT
Compute the (unnomalized) inverse FFT of data, leaving it in place.
backtransform(float[], int) - Method in class jnt.FFT.ComplexFloat2DFFT
Compute the (unnomalized) inverse FFT of data, leaving it in place.
backtransform(float[]) - Method in class jnt.FFT.ComplexFloatFFT
Compute the (unnomalized) inverse FFT of data, leaving it in place.
backtransform(float[], int, int) - Method in class jnt.FFT.ComplexFloatFFT
Compute the (unnomalized) inverse FFT of data, leaving it in place.
backtransform(float[], int, int) - Method in class jnt.FFT.ComplexFloatFFT_Mixed
 
backtransform(float[], int, int) - Method in class jnt.FFT.ComplexFloatFFT_Radix2
 
backtransform(double[]) - Method in class jnt.FFT.RealDoubleFFT
Compute the (unnomalized) inverse FFT of data, leaving it in place.
backtransform(double[], int, int) - Method in class jnt.FFT.RealDoubleFFT
Compute the (unnomalized) inverse FFT of data, leaving it in place.
backtransform(double[]) - Method in class jnt.FFT.RealDoubleFFT_Even
Compute the (unnomalized) inverse FFT of data, leaving it in place.
backtransform(double[], int, int) - Method in class jnt.FFT.RealDoubleFFT_Even
Compute the (unnomalized) inverse FFT of data, leaving it in place.
backtransform(double[], int, int) - Method in class jnt.FFT.RealDoubleFFT_Radix2
Compute the (unnomalized) inverse FFT of data, leaving it in place.
backtransform(float[]) - Method in class jnt.FFT.RealFloat2DFFT_Even
Compute the (unnomalized) inverse FFT of data, leaving it in place.
backtransform(float[], int) - Method in class jnt.FFT.RealFloat2DFFT_Even
Compute the (unnomalized) inverse FFT of data, leaving it in place.
backtransform(float[]) - Method in class jnt.FFT.RealFloatFFT
Compute the (unnomalized) inverse FFT of data, leaving it in place.
backtransform(float[], int, int) - Method in class jnt.FFT.RealFloatFFT
Compute the (unnomalized) inverse FFT of data, leaving it in place.
backtransform(float[], int, int) - Method in class jnt.FFT.RealFloatFFT_Radix2
Compute the (unnomalized) inverse FFT of data, leaving it in place.
BaseFunction - Class in edu.ucla.sspace.clustering.criterion
This CriterionFunction implements the basic functionality needed for a majority of the functions available.
BaseFunction() - Constructor for class edu.ucla.sspace.clustering.criterion.BaseFunction
Constructs a new BaseFunction.
BaseSpectralCut - Class in edu.ucla.sspace.clustering
An abstract class for computing a spectral cut over a data Matrix that represents a set of data points.
BaseSpectralCut() - Constructor for class edu.ucla.sspace.clustering.BaseSpectralCut
 
BaseSpectralCut.Index - Class in edu.ucla.sspace.clustering
A simple comparable data struct holding a row vector's weight and the vector's original index in a matrix.
BaseSpectralCut.Index(double, int) - Constructor for class edu.ucla.sspace.clustering.BaseSpectralCut.Index
 
BaseTransform - Class in edu.ucla.sspace.matrix
An abstract Transform implemenation that most transforms can extend.
BaseTransform() - Constructor for class edu.ucla.sspace.matrix.BaseTransform
 
BaseWordsi - Class in edu.ucla.sspace.wordsi
This base class accepts or rejects key words based on a set of acceptedWords and dispatches calls to a ContextExtractor so that Wordsi sub-classes will be called with each generated vector.
BaseWordsi(Set<String>, ContextExtractor) - Constructor for class edu.ucla.sspace.wordsi.BaseWordsi
Creates a new BaseWordsi.
BASIS_MAPPING_PROPERTY - Static variable in class edu.ucla.sspace.dv.DependencyVectorSpace
The property for setting the maximal length of any DependencyPath.
BasisMaker - Class in edu.ucla.sspace.tools
This main creates a BasisMapping based on the unique terms found in a document set and serializes it to disk.
BasisMaker() - Constructor for class edu.ucla.sspace.tools.BasisMaker
 
BasisMaker.OccurrenceCounter - Class in edu.ucla.sspace.tools
A simple term SemanticSpace implementation that counts word co-occurrences, performs a transform, and then scores each recorded basis dimension based on the row summed scores for each word.
BasisMaker.OccurrenceCounter(Transform, int, int) - Constructor for class edu.ucla.sspace.tools.BasisMaker.OccurrenceCounter
BasisMapping<T,E> - Interface in edu.ucla.sspace.basis
An interface for specifying how a set of features can be mapped to a vector basis.
BasisPrinter - Class in edu.ucla.sspace.tools
 
BasisPrinter() - Constructor for class edu.ucla.sspace.tools.BasisPrinter
 
Beagle - Class in edu.ucla.sspace.beagle
An implementation of the Beagle Semantic Space model.
Beagle(int, Map<String, DoubleVector>) - Constructor for class edu.ucla.sspace.beagle.Beagle
 
Beagle(int, Beagle.SemanticType, Map<String, DoubleVector>) - Constructor for class edu.ucla.sspace.beagle.Beagle
 
Beagle.SemanticType - Enum in edu.ucla.sspace.beagle
 
BEAGLE_SSPACE_NAME - Static variable in class edu.ucla.sspace.beagle.Beagle
The Semantic Space name for Beagle
BeagleMain - Class in edu.ucla.sspace.mains
An executable class for running Beagle from the command line.
BETA_PROPERTY - Static variable in class edu.ucla.sspace.clustering.FastStreamingKMeans
The property for specifying the beta value which determines increases to the facilities cost for creating a new facility, see page 6 in the paper for details.
BETA_PROPERTY - Static variable in class edu.ucla.sspace.clustering.StreamingKMeans
A beta value, see page 6 in the paper for details.
BetweennessCentrality - Class in edu.ucla.sspace.graph
An implementation of Brandes (2001) "A Faster Algorithm for Betweenness Centrality" (available here) for computing the betweenness centrality for all the vertices in a graph.
BetweennessCentrality() - Constructor for class edu.ucla.sspace.graph.BetweennessCentrality
Creates a new instance of a BetweennessCentrality
BigramExtractor - Class in edu.ucla.sspace.tools
A utility class for computing bigram statistics from a corpus.
BigramExtractor() - Constructor for class edu.ucla.sspace.tools.BigramExtractor
Creates a new bigram extractor
BigramExtractor(int) - Constructor for class edu.ucla.sspace.tools.BigramExtractor
Creates a new bigram extractor that expects approximately the specified number of bigrams
BigramExtractor.SignificanceTest - Enum in edu.ucla.sspace.tools
The significance tests to use in determing how two tokens are statistically related in their occurrences.
BiMap<K,V> - Interface in edu.ucla.sspace.util
This interface allows for a bi-directional mapping, where keys can map to values and values can map to keys.
BisectingKMeans - Class in edu.ucla.sspace.clustering
An implementation of the Bisecting K-Means algorithm, also known as Repeated Bisections.
BisectingKMeans() - Constructor for class edu.ucla.sspace.clustering.BisectingKMeans
 
bitreverse(DoubleVector, int, int) - Static method in class edu.ucla.sspace.fft.FastFourierTransform
This is the Gold rader bit-reversal algorithm
bitreverse(double[], int, int) - Method in class jnt.FFT.ComplexDoubleFFT_Radix2
 
bitreverse(float[], int, int) - Method in class jnt.FFT.ComplexFloatFFT_Radix2
 
bitreverse(double[], int, int) - Method in class jnt.FFT.RealDoubleFFT_Radix2
 
bitreverse(float[], int, int) - Method in class jnt.FFT.RealFloatFFT_Radix2
 
BloglinesCorpusReader - Class in edu.ucla.sspace.text
A DirectoryCorpusReader for the bloglines corpus.
BloglinesCorpusReader() - Constructor for class edu.ucla.sspace.text.BloglinesCorpusReader
Creates a new BloglinesCorpusReader from a given file name, without time stamps.
BloglinesCorpusReader(boolean) - Constructor for class edu.ucla.sspace.text.BloglinesCorpusReader
Creates a new BloglinesCorpusReader from a given file name that will include time stamps if includeTimeStamps is true.
BloglinesCorpusReader - Class in edu.ucla.sspace.text.corpora
A DirectoryCorpusReader for the bloglines corpus.
BloglinesCorpusReader() - Constructor for class edu.ucla.sspace.text.corpora.BloglinesCorpusReader
Constructs a new BloglinesCorpusReader that uses no preprocessing before documents are returned.
BloglinesCorpusReader(DocumentPreprocessor) - Constructor for class edu.ucla.sspace.text.corpora.BloglinesCorpusReader
Constructs a new BloglinesCorpusReader that uses preprocessor to clean documents before they are returned.
BloglinesCorpusReader.BloglinesIterator - Class in edu.ucla.sspace.text.corpora
 
BloglinesCorpusReader.BloglinesIterator(Iterator<File>) - Constructor for class edu.ucla.sspace.text.corpora.BloglinesCorpusReader.BloglinesIterator
 
BloglinesCorpusReader.InnerIterator - Class in edu.ucla.sspace.text
 
BloglinesCorpusReader.InnerIterator(Iterator<File>) - Constructor for class edu.ucla.sspace.text.BloglinesCorpusReader.InnerIterator
 
BlogPreProcessor - Class in edu.ucla.sspace.tools
An informal tool class which extracts the date and content of cleaned xml files.
BoundedCache<K,V> - Class in edu.ucla.sspace.util
A special-purpose Map that acts as an LRU cache for a fixed number of elements.
BoundedCache(int) - Constructor for class edu.ucla.sspace.util.BoundedCache
Creates a cache that retains at most maxSize elements
BoundedSortedMap<K,V> - Class in edu.ucla.sspace.util
A Map implementation that grows to a fixed size and then retains only a fixed number of the highest (largest) keys.
BoundedSortedMap(int) - Constructor for class edu.ucla.sspace.util.BoundedSortedMap
Creatins an instance that will only retain the specified number of the largest (highest) keys.
BoundedSortedMap(int, boolean) - Constructor for class edu.ucla.sspace.util.BoundedSortedMap
Creatins an instance that will only retain the specified number of keys, where the largest (highest) keys.
BoundedSortedMultiMap<K,V> - Class in edu.ucla.sspace.util
A MultiMap implementation that grows to a fixed size and then retains only a fixed number of either keys or mappings.
BoundedSortedMultiMap(int) - Constructor for class edu.ucla.sspace.util.BoundedSortedMultiMap
Creates an instance that will retain the specified number of mappings that are associated with the highest keys, using an arbitrary removal policy.
BoundedSortedMultiMap(int, boolean) - Constructor for class edu.ucla.sspace.util.BoundedSortedMultiMap
Creates an instance with the specified bound that will retain either the specified number of highest keys if keyBound is true, or the total number of mappings with the highest keys if keyBound is false.
BoundedSortedMultiMap(int, boolean, boolean, boolean) - Constructor for class edu.ucla.sspace.util.BoundedSortedMultiMap
Creates an instance with the specified bound that will retain either the specified number of keys if keyBound is true, or the total number of mappings if keyBound is false.
bra - Variable in class org.tartarus.snowball.SnowballProgram
 
BreadthFirstPathIterator - Class in edu.ucla.sspace.dependency
A class for performing a breadth-first iteration of the links in a dependency tree starting at any arbitrary node.
BreadthFirstPathIterator(DependencyTreeNode) - Constructor for class edu.ucla.sspace.dependency.BreadthFirstPathIterator
Creates a new iterator over all the paths starting at the provided index.
BreadthFirstPathIterator(DependencyTreeNode, int) - Constructor for class edu.ucla.sspace.dependency.BreadthFirstPathIterator
Creates a new iterator over all the paths starting at the provided index that will only return paths up to the specified maximum length.
BufferedFileListDocumentIterator - Class in edu.ucla.sspace.text
An iterator implementation that returns Document instances given a file that contains list of files, buffering their contents as necessary.
BufferedFileListDocumentIterator(String) - Constructor for class edu.ucla.sspace.text.BufferedFileListDocumentIterator
Creates an Iterator over the files listed in the provided file using the default buffer size.
BufferedFileListDocumentIterator(String, int) - Constructor for class edu.ucla.sspace.text.BufferedFileListDocumentIterator
Creates an Iterator over the files listed in the provided file.
BufferedIterator - Class in edu.ucla.sspace.text
An iterator over all the tokens in a stream, which supports arbitrary look-ahead into the stream by buffering the tokens.
BufferedIterator(String) - Constructor for class edu.ucla.sspace.text.BufferedIterator
Tokenizes the string and buffers to the tokens to allow arbitrary look-ahead.
BufferedIterator(BufferedReader) - Constructor for class edu.ucla.sspace.text.BufferedIterator
Tokenizes the string contents on the reader and buffers to the tokens to allow arbitrary look-ahead.
BufferedIterator(Iterator<String>) - Constructor for class edu.ucla.sspace.text.BufferedIterator
Buffers the tokens in the provided iterator to allow arbitrarily look-ahead.
buildCommitteesForRow(Collection<Integer>, SparseMatrix, double) - Static method in class edu.ucla.sspace.clustering.ClusteringByCommittee
Builds a set of candidate committees from the clusters formed by the average-link clustering of the provided rows.
buildDendogram(Matrix, HierarchicalAgglomerativeClustering.ClusterLinkage, Similarity.SimType) - Method in class edu.ucla.sspace.clustering.HierarchicalAgglomerativeClustering
Builds a dendrogram of the rows of similarity matrix by iteratelyve linking each row according to the linkage policy in a bottom up manner.
buildDendrogram(Matrix, HierarchicalAgglomerativeClustering.ClusterLinkage) - Method in class edu.ucla.sspace.clustering.HierarchicalAgglomerativeClustering
Builds a dendrogram of the rows of similarity matrix by iteratively linking each row according to the linkage policy in a bottom up manner.
buildVector(BufferedReader, DoubleVector) - Method in class edu.ucla.sspace.common.DocumentVectorBuilder
Represent a document as the summation of term Vectors.
byColumn(Matrix) - Static method in class edu.ucla.sspace.matrix.Normalize
Normalize the values of each column in the Matrix to be normalized by the length of each column.
byCorrelation(Matrix, boolean) - Static method in class edu.ucla.sspace.matrix.Normalize
Normalize the values of the Matrix by using the Pearson correlation.
byLength(Matrix) - Static method in class edu.ucla.sspace.matrix.Normalize
Normalize the values of each row in the Matrix to be normalized by the l2 norm of each row.
byMagnitude(Matrix) - Static method in class edu.ucla.sspace.matrix.Normalize
Normalize the all the values values in the Matrix to be normalized by the l2 norm of the entire Matrix.
byRow(Matrix) - Static method in class edu.ucla.sspace.matrix.Normalize
Normalize the values of each row in Matrix to be normalized by the length of each row.
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