Uses of Interface
dragon.matrix.SparseMatrix

Packages that use SparseMatrix

Package	Description
dragon.ir.classification
dragon.ir.classification.featureselection
dragon.ir.clustering
dragon.ir.clustering.clustermodel
dragon.ir.clustering.docdistance
dragon.ir.index
dragon.matrix
dragon.matrix.factorize
dragon.matrix.vector

Uses of SparseMatrix in dragon.ir.classification

Fields in dragon.ir.classification declared as SparseMatrix

Modifier and Type	Field and Description
protected SparseMatrix	AbstractClassifier.doctermMatrix

Methods in dragon.ir.classification that return SparseMatrix

Modifier and Type	Method and Description
SparseMatrix	AbstractClassifier.getDocTermMatrix()

Constructors in dragon.ir.classification with parameters of type SparseMatrix

Constructor and Description
AbstractClassifier(SparseMatrix doctermMatrix)
NBClassifier(SparseMatrix doctermMatrix)

Uses of SparseMatrix in dragon.ir.classification.featureselection

Methods in dragon.ir.classification.featureselection with parameters of type SparseMatrix

Modifier and Type	Method and Description
protected int[]	NullFeatureSelector.getSelectedFeatures(SparseMatrix doctermMatrix, DocClassSet trainingSet)
protected int[]	MutualInfoFeatureSelector.getSelectedFeatures(SparseMatrix doctermMatrix, DocClassSet trainingSet)
protected int[]	InfoGainFeatureSelector.getSelectedFeatures(SparseMatrix doctermMatrix, DocClassSet trainingSet)
protected int[]	DocFrequencySelector.getSelectedFeatures(SparseMatrix doctermMatrix, DocClassSet trainingSet)
protected int[]	ChiFeatureSelector.getSelectedFeatures(SparseMatrix doctermMatrix, DocClassSet trainingSet)
protected abstract int[]	AbstractFeatureSelector.getSelectedFeatures(SparseMatrix doctermMatrix, DocClassSet trainingSet)
protected IntDenseMatrix	AbstractFeatureSelector.getTermDistribution(SparseMatrix doctermMatrix, DocClassSet trainingSet)
protected int[]	AbstractFeatureSelector.getTermDocFrequency(SparseMatrix matrix, DocClassSet trainingSet)
void	FeatureSelector.train(SparseMatrix doctermMatrix, DocClassSet trainingSet) This method chooses a subset of features for text classification.
void	AbstractFeatureSelector.train(SparseMatrix doctermMatrix, DocClassSet trainingSet)

Uses of SparseMatrix in dragon.ir.clustering

Constructors in dragon.ir.clustering with parameters of type SparseMatrix

Constructor and Description
LinkKMean(Clustering initClustering, SparseMatrix links) The constructor with symmetric pairwise object relationship matrix, i.e.
LinkKMean(Clustering initClustering, SparseMatrix outLinks, SparseMatrix inLinks) The constructor with asymmetric pairwise object relationship matrix, i.e.

Uses of SparseMatrix in dragon.ir.clustering.clustermodel

Constructors in dragon.ir.clustering.clustermodel with parameters of type SparseMatrix

Constructor and Description
CosineClusterModel(int clusterNum, SparseMatrix doctermMatrix)
EuclideanClusterModel(int clusterNum, SparseMatrix docTerm)

Uses of SparseMatrix in dragon.ir.clustering.docdistance

Fields in dragon.ir.clustering.docdistance declared as SparseMatrix

Modifier and Type	Field and Description
protected SparseMatrix	AbstractDocDistance.matrix

Constructors in dragon.ir.clustering.docdistance with parameters of type SparseMatrix

Constructor and Description
AbstractDocDistance(SparseMatrix matrix)
CosineDocDistance(SparseMatrix doctermMatrix)
EuclideanDocDistance(SparseMatrix doctermMatrix)

Uses of SparseMatrix in dragon.ir.index

Methods in dragon.ir.index with parameters of type SparseMatrix

Modifier and Type	Method and Description
void	IndexConverter.exportMatrix(SimpleElementList rowList, SimpleElementList colList, SparseMatrix matrix, boolean exportAsInteger, String outputFile)

Uses of SparseMatrix in dragon.matrix

Subinterfaces of SparseMatrix in dragon.matrix

Modifier and Type	Interface and Description
interface	DoubleSparseMatrix Interface of Double-typed Sparse Matrix
interface	IntSparseMatrix Interface of Integer-typed Sparse Matrix

Classes in dragon.matrix that implement SparseMatrix

Modifier and Type	Class and Description
class	AbstractFlatSparseMatrix Abstract flat sparse matrix handles sparse matrix smaller than super sparse matrix while adding options for read and store matrix data to disk either in text or binary format
class	AbstractGiantSparseMatrix The abstract sparse matrix for handling extreme large sparse matrirwhich will write matrix data to disk whenever it's over fulsh interval by default 1000,000 and superior to AbstractSuperSparseMatrix, however it's lack of some basic matrix operation functions such as getNonZeroColumnInRow privided by AbstractSuperSparseMatrix because it focuses on storing and loading matrix to disk efficiently
class	AbstractSparseMatrix Abstract Sparse matrix implements the interface of sparse matrix which can be called by any data type's sparse matrix such as double and integer
class	AbstractSuperSparseMatrix Abstract super sparse matrix is designed for large sparse matrix which first caches data and then processes data and write data to disk when it's over flush interval
class	DoubleFlatSparseMatrix Double flat sparse matrix handles data smaller than super sparse matrix, however it provides options of storing data to disk either in binary or text format
class	DoubleGiantSparseMatrix Giant sparse matrix handles extreme large double sparse matrix
class	DoubleSuperSparseMatrix Super sparse matrix for double data type
class	IntFlatSparseMatrix Flat sparse matrix for integer data
class	IntGiantSparseMatrix Giant sparse matrix for extreme large integer matrix
class	IntSuperSparseMatrix Super sparse matrix for integer data

Methods in dragon.matrix that return SparseMatrix

Modifier and Type	Method and Description
SparseMatrix	SparseMatrix.createSparseMatrix() This method return an empty sparse matrix with the same implemented type as the current matrix.
SparseMatrix	IntSuperSparseMatrix.createSparseMatrix()
SparseMatrix	IntGiantSparseMatrix.createSparseMatrix()
SparseMatrix	IntFlatSparseMatrix.createSparseMatrix()
SparseMatrix	DoubleSuperSparseMatrix.createSparseMatrix()
SparseMatrix	DoubleGiantSparseMatrix.createSparseMatrix()
SparseMatrix	DoubleFlatSparseMatrix.createSparseMatrix()

Methods in dragon.matrix with parameters of type SparseMatrix

Modifier and Type	Method and Description
boolean	SparseMatrixFactory.add(SparseMatrix newMatrix)
boolean	SparseMatrix.genCooccurrenceMatrix(SparseMatrix matrixY, int minOccurrence, IntSparseMatrix outputCooccurMatrix) The cell (i,j) in the output cooccurrence matrix stores the cooccurrence count of the i-th row in the current matrix and the j-th row in the matrixY.
boolean	AbstractSparseMatrix.genCooccurrenceMatrix(SparseMatrix matrixY, int minOccurrence, IntSparseMatrix outputCooccurMatrix)
boolean	SparseMatrix.genCooccurrenceMatrix(SparseMatrix matrixY, IntSparseMatrix outputCooccurMatrix) The cell (i,j) in the output cooccurrence matrix stores the cooccurrence count of the i-th row in the current matrix and the j-th row in the matrixY.
boolean	AbstractSparseMatrix.genCooccurrenceMatrix(SparseMatrix matrixY, IntSparseMatrix outputCooccurMatrix)

Uses of SparseMatrix in dragon.matrix.factorize

Methods in dragon.matrix.factorize with parameters of type SparseMatrix

Modifier and Type	Method and Description
void	SVD.factorize(SparseMatrix matrix, int dimension)
void	NMF.factorize(SparseMatrix x, int dimension)
void	Factorization.factorize(SparseMatrix matrix, int dimension) Factorizes the given matrix
protected void	AbstractFactorization.product(SparseMatrix a, DoubleDenseMatrix b, DoubleDenseMatrix c)

Uses of SparseMatrix in dragon.matrix.vector

Methods in dragon.matrix.vector with parameters of type SparseMatrix

Modifier and Type	Method and Description
void	HITS.computeAuthorityHub(SparseMatrix matrix)
void	HITS.computeAuthorityHub(SparseMatrix matrix, SparseMatrix tMatrix)
DoubleVector	PowerMethod.getEigenVector(SparseMatrix matrix) Get the largest eigenvector which satisifies p=(dU+(1-d)M)'*p