comirva.util
Class PCA

java.lang.Object
  comirva.util.PCA

public class PCA
extends Object

This class implements the projection of a data set with a Principal Components Analysis.

Constructor Summary

PCA(DataMatrix data, int dim)
Creates a new Principal Components Analysis (PCA) and calculates it using the data matrix data as input.

PCA(double[][] data, int dim)
Creates a new Principal Components Analysis (PCA) and calculates it using the data matrix data as input.

PCA(Jama.Matrix m, int dim)
Creates a new Principal Components Analysis (PCA) and calculates it using the Jama Matrix m as input.

Method Summary

double[]	getEigenvalues()
DataMatrix	getEigenvaluesAsDataMatrix()
DataMatrix	getEigenvectorsAsDataMatrix()
double[][]	getEigenvectorsAsDoubleArray()
Jama.Matrix	getEigenvectorsAsMatrix()
double[]	getMeans()
DataMatrix	getMeansAsDataMatrix()
DataMatrix	getPCATransformedDataAsDataMatrix()
double[][]	getPCATransformedDataAsDoubleArray()
Jama.Matrix	getPCATransformedDataAsMatrix()

Methods inherited from class java.lang.Object

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

Constructor Detail

PCA

public PCA(Jama.Matrix m,
           int dim)

Creates a new Principal Components Analysis (PCA) and calculates it using the Jama Matrix m as input. Furthermore, the projection of the input data to a space of dimensionality dim is performed.

Parameters:

m - a Matrix representing the input data

dim - the number of dimensions onto which the input data is to be projected

PCA

public PCA(double[][] data,
           int dim)

Creates a new Principal Components Analysis (PCA) and calculates it using the data matrix data as input. Furthermore, the projection of the input data to a space of dimensionality dim is performed.

Parameters:

data - a double[][] representing the input data

dim - the number of dimensions onto which the input data is to be projected

PCA

public PCA(DataMatrix data,
           int dim)

Creates a new Principal Components Analysis (PCA) and calculates it using the data matrix data as input. Furthermore, the projection of the input data to a space of dimensionality dim is performed.

Parameters:

data - a DataMatrix representing the input data

dim - the number of dimensions onto which the input data is to be projected

Method Detail

getPCATransformedDataAsDoubleArray

public double[][] getPCATransformedDataAsDoubleArray()

getPCATransformedDataAsMatrix

public Jama.Matrix getPCATransformedDataAsMatrix()

getPCATransformedDataAsDataMatrix

public DataMatrix getPCATransformedDataAsDataMatrix()

getEigenvectorsAsDoubleArray

public double[][] getEigenvectorsAsDoubleArray()

getEigenvectorsAsMatrix

public Jama.Matrix getEigenvectorsAsMatrix()

getEigenvectorsAsDataMatrix

public DataMatrix getEigenvectorsAsDataMatrix()

getEigenvalues

public double[] getEigenvalues()

getEigenvaluesAsDataMatrix

public DataMatrix getEigenvaluesAsDataMatrix()

getMeans

public double[] getMeans()

getMeansAsDataMatrix

public DataMatrix getMeansAsDataMatrix()