edu.ucla.sspace.matrix.factorization

Class SingularValueDecompositionMatlab

java.lang.Object

edu.ucla.sspace.matrix.factorization.AbstractSvd

edu.ucla.sspace.matrix.factorization.SingularValueDecompositionMatlab

All Implemented Interfaces:

MatrixFactorization

public class SingularValueDecompositionMatlab
extends AbstractSvd

A wrapper around the Matlab implementation of the SVD.

Author:

Keith Stevens

Field Summary

Fields inherited from class edu.ucla.sspace.matrix.factorization.AbstractSvd

classFeatures, dataClasses, scaledClassFeatures, scaledDataClasses, singularValues

Constructor Summary

Constructors

Constructor and Description
SingularValueDecompositionMatlab()

Method Summary

Methods

Modifier and Type	Method and Description
void	factorize(MatrixFile mfile, int dimensions) Factorizes the MatrixFile m.
void	factorize(SparseMatrix matrix, int dimensions) Factorizes the SparseMatrix m.
MatrixBuilder	getBuilder() Returns a MatrixBuilder that is optimized for MatrixFiles that will be processed by this MatrixFactorization algorithm.

Methods inherited from class edu.ucla.sspace.matrix.factorization.AbstractSvd

classFeatures, dataClasses, singularValues

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

SingularValueDecompositionMatlab

public SingularValueDecompositionMatlab()

Method Detail

factorize

public void factorize(SparseMatrix matrix,
             int dimensions)

Description copied from interface: MatrixFactorization

Factorizes the SparseMatrix m. If m is of size MxN, this will generate two matrices: one of size MxnumDimensions and one of size numDimensionsxN. This method must be called before calling dataClasses and classFeatures.

factorize

public void factorize(MatrixFile mfile,
             int dimensions)

Description copied from interface: MatrixFactorization

Factorizes the MatrixFile m. If m is of size MxN, this will generate two matrices: one of size MxnumDimensions and one of size numDimensionsxN. This method must be called before calling dataClasses and classFeatures.

getBuilder

public MatrixBuilder getBuilder()

Returns a MatrixBuilder that is optimized for MatrixFiles that will be processed by this MatrixFactorization algorithm.