Uses of Class
ch.akuhn.matrix.SparseMatrix

Packages that use SparseMatrix

Package	Description
ch.akuhn.matrix
org.openimaj.experiment.evaluation.cluster
org.openimaj.math.matrix
org.openimaj.ml.clustering
org.openimaj.ml.clustering.dbscan
org.openimaj.ml.clustering.incremental
org.openimaj.ml.clustering.kdtree
org.openimaj.ml.clustering.random
org.openimaj.ml.clustering.spectral
org.openimaj.ml.linear.learner.matlib

Uses of SparseMatrix in ch.akuhn.matrix

Methods in ch.akuhn.matrix that return SparseMatrix

Modifier and Type	Method and Description
static SparseMatrix	SparseMatrix.random(int n, int m, double density) Create a random matrix
static SparseMatrix	SparseMatrix.readFrom(Scanner scan) Read matrix from Scanner
static SparseMatrix	Matrix.sparse(int n, int m) Create a sparse matrix

Uses of SparseMatrix in org.openimaj.experiment.evaluation.cluster

Constructors in org.openimaj.experiment.evaluation.cluster with parameters of type SparseMatrix

Constructor and Description
RangedDBSCANClusterEvaluator(UniformDoubleRangeIterable r, SparseMatrixDBSCAN gen, SparseMatrix data, Function<B,Integer> indexFunc, Map<A,? extends List<B>> dataset, ClusterAnalyser<T> analyser)
RangedDBSCANClusterEvaluator(UniformDoubleRangeIterable r, SparseMatrixDBSCAN gen, SparseMatrix data, int[][] clusters, ClusterAnalyser<T> analyser)
RangedDBSCANClusterEvaluator(UniformDoubleRangeIterable r, SparseMatrixDBSCAN gen, SparseMatrix data, Map<A,? extends List<B>> dataset, ClusterAnalyser<T> analyser)

Constructor parameters in org.openimaj.experiment.evaluation.cluster with type arguments of type SparseMatrix

Constructor and Description
RangedDBSCANClusterEvaluator(UniformDoubleRangeIterable r, SparseMatrixDBSCAN gen, Map<A,? extends List<B>> dataset, Function<List<B>,SparseMatrix> transform, ClusterAnalyser<T> analyser)

Uses of SparseMatrix in org.openimaj.math.matrix

Methods in org.openimaj.math.matrix that return SparseMatrix

Modifier and Type	Method and Description
static SparseMatrix	MatlibMatrixUtils.maxInplace(SparseMatrix A, SparseMatrix B)
static SparseMatrix	MatlibMatrixUtils.minInplace(SparseMatrix A, SparseMatrix B)
static SparseMatrix	MatlibMatrixUtils.plusInplace(SparseMatrix A, Matrix B) Add two matrices, storing the results in the first: A = A + B
static SparseMatrix	MatlibMatrixUtils.threshold(SparseMatrix data, double thresh) Set values below the given threshold to zero in the output matrix.
static SparseMatrix	MatlibMatrixUtils.times(DiagonalMatrix D, SparseMatrix A) Left multiply two matrices: R = D .
static SparseMatrix	MatlibMatrixUtils.times(SparseMatrix A, DiagonalMatrix D) Right multiply two matrices: R = A .
static SparseMatrix	MatlibMatrixUtils.timesInplace(SparseMatrix A, SparseMatrix B)

Methods in org.openimaj.math.matrix with parameters of type SparseMatrix

Modifier and Type	Method and Description
static SparseMatrix	MatlibMatrixUtils.maxInplace(SparseMatrix A, SparseMatrix B)
static SparseMatrix	MatlibMatrixUtils.minInplace(SparseMatrix A, SparseMatrix B)
static SparseMatrix	MatlibMatrixUtils.plusInplace(SparseMatrix A, Matrix B) Add two matrices, storing the results in the first: A = A + B
static double	MatrixUtils.sparsity(SparseMatrix matrix) Compute the sparsity (i.e.
static SparseMatrix	MatlibMatrixUtils.threshold(SparseMatrix data, double thresh) Set values below the given threshold to zero in the output matrix.
static SparseMatrix	MatlibMatrixUtils.times(DiagonalMatrix D, SparseMatrix A) Left multiply two matrices: R = D .
static SparseMatrix	MatlibMatrixUtils.times(SparseMatrix A, DiagonalMatrix D) Right multiply two matrices: R = A .
static SparseMatrix	MatlibMatrixUtils.timesInplace(SparseMatrix A, SparseMatrix B)

Uses of SparseMatrix in org.openimaj.ml.clustering

Methods in org.openimaj.ml.clustering with parameters of type SparseMatrix

Modifier and Type	Method and Description
CLUSTERS	DistanceClusterer.clusterDistance(SparseMatrix dist)
CLUSTERS	SimilarityClusterer.clusterSimilarity(SparseMatrix sim)

Uses of SparseMatrix in org.openimaj.ml.clustering.dbscan

Methods in org.openimaj.ml.clustering.dbscan with parameters of type SparseMatrix

Modifier and Type	Method and Description
DoubleDBSCANClusters	DistanceDBSCAN.cluster(SparseMatrix data)
DoubleDBSCANClusters	SimilarityDBSCAN.cluster(SparseMatrix data)
DoubleDBSCANClusters	DistanceDBSCAN.clusterDistance(SparseMatrix data)
DoubleDBSCANClusters	SimilarityDBSCAN.clusterSimilarity(SparseMatrix data)
int[][]	SparseMatrixDBSCAN.performClustering(SparseMatrix data)

Uses of SparseMatrix in org.openimaj.ml.clustering.incremental

Methods in org.openimaj.ml.clustering.incremental with parameters of type SparseMatrix

Modifier and Type	Method and Description
IndexClusters	IncrementalSparseClusterer.cluster(SparseMatrix data)
int[][]	IncrementalSparseClusterer.performClustering(SparseMatrix data)

Uses of SparseMatrix in org.openimaj.ml.clustering.kdtree

Constructors in org.openimaj.ml.clustering.kdtree with parameters of type SparseMatrix

Constructor and Description
OPTIMISED(DiagonalMatrix D, SparseMatrix W)

Uses of SparseMatrix in org.openimaj.ml.clustering.random

Methods in org.openimaj.ml.clustering.random with parameters of type SparseMatrix

Modifier and Type	Method and Description
IndexClusters	RandomClusterer.cluster(SparseMatrix data)
int[][]	RandomClusterer.performClustering(SparseMatrix data)

Uses of SparseMatrix in org.openimaj.ml.clustering.spectral

Methods in org.openimaj.ml.clustering.spectral that return SparseMatrix

Modifier and Type	Method and Description
SparseMatrix	DoubleFVSimilarityFunction.apply(List<T> in)
SparseMatrix	GraphLaplacian.laplacian(SparseMatrix adj)
protected SparseMatrix	DoubleSpectralClustering.laplacian(SparseMatrix data)
abstract SparseMatrix	GraphLaplacian.laplacian(SparseMatrix adj, DiagonalMatrix degree)
SparseMatrix	GraphLaplacian.Unnormalised.laplacian(SparseMatrix adj, DiagonalMatrix degree)
SparseMatrix	GraphLaplacian.Normalised.laplacian(SparseMatrix adj, DiagonalMatrix degree)
SparseMatrix	GraphLaplacian.Warped.laplacian(SparseMatrix adj, DiagonalMatrix degree)
protected SparseMatrix	RBFSimilarityDoubleClustererWrapper.similarity()
protected SparseMatrix	NormalisedSimilarityDoubleClustererWrapper.similarity()
protected abstract SparseMatrix	DoubleFVSimilarityFunction.similarity()

Methods in org.openimaj.ml.clustering.spectral with parameters of type SparseMatrix

Modifier and Type	Method and Description
SpectralIndexedClusters	DoubleSpectralClustering.cluster(SparseMatrix data)
SpectralIndexedClusters	DoubleSpectralClustering.clusterSimilarity(SparseMatrix sim)
SparseMatrix	GraphLaplacian.laplacian(SparseMatrix adj)
protected SparseMatrix	DoubleSpectralClustering.laplacian(SparseMatrix data)
abstract SparseMatrix	GraphLaplacian.laplacian(SparseMatrix adj, DiagonalMatrix degree)
SparseMatrix	GraphLaplacian.Unnormalised.laplacian(SparseMatrix adj, DiagonalMatrix degree)
SparseMatrix	GraphLaplacian.Normalised.laplacian(SparseMatrix adj, DiagonalMatrix degree)
SparseMatrix	GraphLaplacian.Warped.laplacian(SparseMatrix adj, DiagonalMatrix degree)
protected Eigenvalues	DoubleSpectralClustering.laplacianEigenVectors(SparseMatrix laplacian)
int[][]	DoubleSpectralClustering.performClustering(SparseMatrix data)
FewEigenvalues	AbsoluteValueEigenChooser.prepare(SparseMatrix laplacian)
FewEigenvalues	ChangeDetectingEigenChooser.prepare(SparseMatrix laplacian)
abstract Eigenvalues	EigenChooser.prepare(SparseMatrix laplacian) Make a coarse decision of the number of eigen vectors to extract in the first place with the knowledge of the eigen values that will likely be important
Eigenvalues	HardCodedEigenChooser.prepare(SparseMatrix laplacian)
protected Eigenvalues	CachedDoubleSpectralClustering.spectralCluster(SparseMatrix data)
protected Eigenvalues	DoubleSpectralClustering.spectralCluster(SparseMatrix data)

Method parameters in org.openimaj.ml.clustering.spectral with type arguments of type SparseMatrix

Modifier and Type	Method and Description
IndexClusters	DoubleMultiviewSpectralClustering.cluster(List<SparseMatrix> data)
int[][]	DoubleMultiviewSpectralClustering.performClustering(List<SparseMatrix> data)

Uses of SparseMatrix in org.openimaj.ml.linear.learner.matlib

Methods in org.openimaj.ml.linear.learner.matlib that return SparseMatrix

Modifier and Type	Method and Description
static SparseMatrix	MatlibBilinearSparseOnlineLearner.expandY(Matrix Y) Given a flat value matrix, makes a diagonal sparse matrix containing the values as the diagonal