databionics.esom.train
Class Descriptives

java.lang.Object
  databionics.esom.train.Descriptives

public class Descriptives
extends java.lang.Object

Computes and stores important characteristics of the data

Author:

Mario, Christian

Field Summary

protected cern.colt.matrix.DoubleMatrix2D	cov matrix of covariances
protected cern.colt.matrix.DoubleMatrix2D	data matrix with data
protected cern.colt.matrix.DoubleMatrix2D	ev Normalized Eigenvectors
protected cern.colt.matrix.linalg.EigenvalueDecomposition	evd Eigenvalues
protected static org.apache.log4j.Logger	log interface to log4j system
protected cern.colt.matrix.DoubleMatrix1D	maxima vector of maxima
protected cern.colt.matrix.DoubleMatrix1D	means vector of means
protected cern.colt.matrix.DoubleMatrix1D	minima vector of minima
protected cern.colt.matrix.DoubleMatrix1D	sdevs vector of standard deviations

Constructor Summary

Descriptives()
standard constructor

Descriptives(cern.colt.matrix.DoubleMatrix2D data)
constructor who sets data and EigenvalueDecomposition

Method Summary

cern.colt.matrix.DoubleMatrix2D	getCovariance() Returns covariance matrix of data
double	getEigenValue(int i) Returns i-th largest eigenvalue
cern.colt.matrix.DoubleMatrix1D	getEigenValues() Returns EigenValues of data
cern.colt.matrix.DoubleMatrix1D	getEigenVector(int i) Returns eigenvector of i-th largest eigenvalue
cern.colt.matrix.DoubleMatrix2D	getEigenVectors() Returns Eigenvectors of data
double	getFirstEigenValue() Returns largest eigenvalue
cern.colt.matrix.DoubleMatrix1D	getFirstEigenVector() Returns eigenvector of largest eigenvalue
double	getMax(int pos) Returns max of data
double	getMean(int pos) Returns mean of data
double	getMin(int pos) Returns min of data
double	getSecondEigenValue() Returns 2nd largest eigenvalue
cern.colt.matrix.DoubleMatrix1D	getSecondEigenVector() Returns eigenvector of 2nd largest eigenvalue
double	getStandardDeviation(int pos) Returns standard deviation
double	getThirdEigenValue() Returns 3rd largest eigenvalue
cern.colt.matrix.DoubleMatrix1D	getThirdEigenVector() Returns eigenvector of 3rd largest eigenvalue
protected void	pca() Perform PCA
cern.colt.matrix.DoubleMatrix1D	projection(int i) Projection of data with eigenvector of given eigenvalue
void	setData(cern.colt.matrix.DoubleMatrix2D data) Set data and calculate statistics.

Methods inherited from class java.lang.Object

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

Field Detail

log

protected static final org.apache.log4j.Logger log

interface to log4j system

data

protected cern.colt.matrix.DoubleMatrix2D data

matrix with data

maxima

protected cern.colt.matrix.DoubleMatrix1D maxima

vector of maxima

means

protected cern.colt.matrix.DoubleMatrix1D means

vector of means

minima

protected cern.colt.matrix.DoubleMatrix1D minima

vector of minima

sdevs

protected cern.colt.matrix.DoubleMatrix1D sdevs

vector of standard deviations

cov

protected cern.colt.matrix.DoubleMatrix2D cov

matrix of covariances

evd

protected cern.colt.matrix.linalg.EigenvalueDecomposition evd

Eigenvalues

ev

protected cern.colt.matrix.DoubleMatrix2D ev

Normalized Eigenvectors

Constructor Detail

Descriptives

public Descriptives()

standard constructor

Descriptives

public Descriptives(cern.colt.matrix.DoubleMatrix2D data)

constructor who sets data and EigenvalueDecomposition

Parameters:

data - data

Method Detail

pca

protected void pca()

Perform PCA

setData

public void setData(cern.colt.matrix.DoubleMatrix2D data)

Set data and calculate statistics.

getMax

public double getMax(int pos)

Returns max of data

Returns:

max

getMean

public double getMean(int pos)

Returns mean of data

Returns:

mean

getMin

public double getMin(int pos)

Returns min of data

Returns:

min

getStandardDeviation

public double getStandardDeviation(int pos)

Returns standard deviation

Returns:

standard deviation

getCovariance

public cern.colt.matrix.DoubleMatrix2D getCovariance()

Returns covariance matrix of data

Returns:

covM covariance Matrix

getEigenValues

public cern.colt.matrix.DoubleMatrix1D getEigenValues()

Returns EigenValues of data

Returns:

vector of eigenvalues

getEigenVectors

public cern.colt.matrix.DoubleMatrix2D getEigenVectors()

Returns Eigenvectors of data

Returns:

matrix of Eigenvectors

getEigenValue

public double getEigenValue(int i)

Returns i-th largest eigenvalue

Parameters:

i - i-th largest

Returns:

eigenvalue

getFirstEigenValue

public double getFirstEigenValue()

Returns largest eigenvalue

Returns:

eigenvalue

getSecondEigenValue

public double getSecondEigenValue()

Returns 2nd largest eigenvalue

Returns:

eigenvalue

getThirdEigenValue

public double getThirdEigenValue()

Returns 3rd largest eigenvalue

Returns:

eigenvalue

getEigenVector

public cern.colt.matrix.DoubleMatrix1D getEigenVector(int i)

Returns eigenvector of i-th largest eigenvalue

Parameters:

i - i-th largest eigenvalue

Returns:

eigenvector

getFirstEigenVector

public cern.colt.matrix.DoubleMatrix1D getFirstEigenVector()

Returns eigenvector of largest eigenvalue

Returns:

eigenvector

getSecondEigenVector

public cern.colt.matrix.DoubleMatrix1D getSecondEigenVector()

Returns eigenvector of 2nd largest eigenvalue

Returns:

eigenvector

getThirdEigenVector

public cern.colt.matrix.DoubleMatrix1D getThirdEigenVector()

Returns eigenvector of 3rd largest eigenvalue

Returns:

eigenvector

projection

public cern.colt.matrix.DoubleMatrix1D projection(int i)

Projection of data with eigenvector of given eigenvalue

Parameters:

i - i-th largest EigenValue

Returns:

projected vector