edu.ucla.sspace.matrix.factorization

Class SingularValueDecompositionLibC

java.lang.Object

edu.ucla.sspace.matrix.factorization.SingularValueDecompositionLibC

All Implemented Interfaces:

MatrixFactorization

public class SingularValueDecompositionLibC
extends Object
implements MatrixFactorization

A wrapper around the LibC implentation of Singular Value Decomposition.

Author:

Keith Stevens

Constructor Summary

Constructors

Constructor and Description
SingularValueDecompositionLibC()

Method Summary

Methods

Modifier and Type	Method and Description
Matrix	classFeatures() Returns the latent class by feature Matrix.
Matrix	dataClasses() Returns the data point by latent class Matrix.
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.
double[]	singularValues() Returns a double array of the singular values.

Methods inherited from class java.lang.Object

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

Constructor Detail

SingularValueDecompositionLibC

public SingularValueDecompositionLibC()

Method Detail

factorize

public void factorize(SparseMatrix matrix,
             int dimensions)

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.

Specified by:

factorize in interface MatrixFactorization

factorize

public void factorize(MatrixFile mFile,
             int dimensions)

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.

Specified by:

factorize in interface MatrixFactorization

dataClasses

public Matrix dataClasses()

Returns the data point by latent class Matrix. This matrix represents the degree by which each data point can be explained by the discovered latent classes. Actual interpretations of the latent classes depends on the actual algorithm used. This Matrix can be used as a reduced representation of the data points themselves.

Specified by:

dataClasses in interface MatrixFactorization

classFeatures

public Matrix classFeatures()

Returns the latent class by feature Matrix. This matrix represents the degree by which each feature affects each latent class. Actual interpretations of this interaction depends on the actual algorithm used. This Matrix can be used as a reduced representation of the features.

Specified by:

classFeatures in interface MatrixFactorization

singularValues

public double[] singularValues()

Returns a double array of the singular values.

getBuilder

public MatrixBuilder getBuilder()

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

Specified by:

getBuilder in interface MatrixFactorization