org.gvsig.raster.principalcomponents.algorithm

Class PCStatsDataStructure

java.lang.Object

org.gvsig.raster.principalcomponents.algorithm.PCStatsDataStructure

public class PCStatsDataStructure
extends java.lang.Object

Represents statistics needed to generate a transformated raster by PCA method

Author:

seriznue

Constructor Summary

Constructors

Constructor and Description
PCStatsDataStructure(Jama.Matrix autoVectorsMatrix, double[] autovalues, Jama.Matrix coVarMatrix) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
double[]	getAutovalues()
Jama.Matrix	getAutoVectorsMatrix()
Jama.Matrix	getCoVarMatrix()
double[][]	getMaxMinMean()
void	setAutovalors(double[] autovalors)
void	setAutoVectorsMatrix(Jama.Matrix autoVectorsMatrix)
void	setCoVarMatrix(Jama.Matrix coVarMatrix)
void	setMaxMinMean(double[][] maxminmean)

Methods inherited from class java.lang.Object

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

Constructor Detail

PCStatsDataStructure

public PCStatsDataStructure(Jama.Matrix autoVectorsMatrix,
                    double[] autovalues,
                    Jama.Matrix coVarMatrix)

Constructor.

Parameters:

autoVectorsMatrix - Matrix of autovectors.

autovalues - Array of eigenvalues.

coVarMatrix - Matrix of Covariance.

Method Detail

getAutovalues

public double[] getAutovalues()

getAutoVectorsMatrix

public Jama.Matrix getAutoVectorsMatrix()

getCoVarMatrix

public Jama.Matrix getCoVarMatrix()

getMaxMinMean

public double[][] getMaxMinMean()

setAutovalors

public void setAutovalors(double[] autovalors)

setAutoVectorsMatrix

public void setAutoVectorsMatrix(Jama.Matrix autoVectorsMatrix)

setCoVarMatrix

public void setCoVarMatrix(Jama.Matrix coVarMatrix)

setMaxMinMean

public void setMaxMinMean(double[][] maxminmean)