- 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
-
- 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
-
- BASIS_MAPPING_PROPERTY - Static variable in class edu.ucla.sspace.dv.DependencyVectorSpace
-
- 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
-
- 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.