Uses of Interface
edu.ucla.sspace.matrix.SparseMatrix

Packages that use SparseMatrix

Package	Description
edu.ucla.sspace.clustering
edu.ucla.sspace.matrix
edu.ucla.sspace.matrix.factorization

Uses of SparseMatrix in edu.ucla.sspace.clustering

Methods in edu.ucla.sspace.clustering with parameters of type SparseMatrix

Modifier and Type	Method and Description
static List<edu.ucla.sspace.clustering.ClusteringByCommittee.CandidateCommittee>	ClusteringByCommittee.buildCommitteesForRow(Collection<Integer> rows, SparseMatrix sm, double avgLinkMergeThresh) Builds a set of candidate committees from the clusters formed by the average-link clustering of the provided rows.
protected double	LinkClustering.getEdgeSimilarity(SparseMatrix sm, LinkClustering.Edge e1, LinkClustering.Edge e2) Computes the similarity of the two edges as the Jaccard index of the neighbors of two impost nodes.

Uses of SparseMatrix in edu.ucla.sspace.matrix

Classes in edu.ucla.sspace.matrix that implement SparseMatrix

Modifier and Type	Class and Description
class	AtomicGrowingSparseHashMatrix A concurrent, thread-safe, growable SparseMatrix class that is optimized for operations only access one value of the matrix at a time.
class	AtomicGrowingSparseMatrix A concurrent, thread-safe, growable SparseMatrix class.
class	CellMaskedSparseMatrix This SparseMatrix decorator allows every row and column index to be remapped to new indices.
class	DiagonalMatrix A special-case Matrix implementation for diagonal matrices.
class	GrowingSparseMatrix A growing sparse Matrix based on the Yale Sparse Matrix Format.
class	RowScaledSparseMatrix A decorator over SparseMatrixs.
class	SparseHashMatrix A SparseMatrix backed by vectors that provide amortized O(1) access to their elements.
class	SparseOnDiskMatrix A SparseMatrix implementation that uses a binary file to read and write.
class	SparseRowMaskedMatrix A tiled view of a SparseMatrix instance where selected rows of the instance a represented as a single, contiguous matrix.
class	SparseSymmetricMatrix A decorator around a SparseMatrix that keeps only the upper triangular values while providing a symmetric view of the data.
class	SynchronizedSparseMatrix A SparseMatrix decorator class that provides thread safe access to a backing SparseMatrix instance.
class	YaleSparseMatrix A sparse Matrix based on the Yale Sparse Matrix Format, as implemented in CompactSparseVector.

Methods in edu.ucla.sspace.matrix that return SparseMatrix

Modifier and Type	Method and Description
static <T extends SparseDoubleVector> SparseMatrix	Matrices.asSparseMatrix(List<T> vectors) Returns a SparseMatrix from a list of SparseDoubleVectors.
static <T extends SparseDoubleVector> SparseMatrix	Matrices.asSparseMatrix(List<T> vectors, int columns) Returns a SparseMatrix from a list of SparseDoubleVectors.

Methods in edu.ucla.sspace.matrix with parameters of type SparseMatrix

Modifier and Type	Method and Description
void	MatrixFactorization.factorize(SparseMatrix m, int numDimensions) Factorizes the SparseMatrix m.
static AtomicMatrix	Matrices.synchronizedSparseMatrix(SparseMatrix m) Returns a synchronized (thread-safe) matrix backed by the provided SparseMatrix.

Constructors in edu.ucla.sspace.matrix with parameters of type SparseMatrix

Constructor and Description
CellMaskedSparseMatrix(SparseMatrix matrix, int[] rowMaskMap, int[] colMaskMap) Creates a new CellMaskedSparseMatrix from a given SparseMatrix and maps, one for the row indices and one for the column indices.
RowScaledSparseMatrix(SparseMatrix matrix, DoubleVector v) Creates a RowScaledSparseMatrix that provides scaled read only access to the provided SparseMatrix instance.
SparseRowMaskedMatrix(SparseMatrix matrix, BitSet included) Creates a partial view of the provided sparse matrix using the bits set to true as the rows that should be included
SparseRowMaskedMatrix(SparseMatrix matrix, int[] reordering) Creates a partial view of the provided sparse matrix using the the integer mapping to specify which rows should be included in the matrix.
SparseRowMaskedMatrix(SparseMatrix matrix, Set<Integer> included) Creates a partial view of the provided sparse matrix using the integers in the set to specify which rows should be included in the matrix.
SparseSymmetricMatrix(SparseMatrix backing) Constructs a sparse matrix with the specified dimensions.
SynchronizedSparseMatrix(SparseMatrix matrix) Creates a SynchronizedSparseMatrix that provides thread-safe access to the provided SparseMatrix instance.

Uses of SparseMatrix in edu.ucla.sspace.matrix.factorization

Methods in edu.ucla.sspace.matrix.factorization with parameters of type SparseMatrix

Modifier and Type	Method and Description
void	NonNegativeMatrixFactorizationOPL.factorize(SparseMatrix m, int numDimensions) Factorizes the SparseMatrix m.
void	SingularValueDecompositionMatlab.factorize(SparseMatrix matrix, int dimensions)
void	NonNegativeMatrixFactorizationMultiplicative.factorize(SparseMatrix matrix, int numDimensions) Factorizes the SparseMatrix m.
void	SingularValueDecompositionOctave.factorize(SparseMatrix matrix, int dimensions)
void	SingularValueDecompositionLibC.factorize(SparseMatrix matrix, int dimensions) Factorizes the SparseMatrix m.
void	SingularValueDecompositionLibJ.factorize(SparseMatrix matrix, int dimensions) Factorizes the SparseMatrix m.