Java weka.attributeSelection PrincipalComponents fields, constructors, methods, implement or subclass

Example usage for Java weka.attributeSelection PrincipalComponents fields, constructors, methods, implement or subclass

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Introduction

In this page you can find the methods, fields and constructors for weka.attributeSelection PrincipalComponents.

The text is from its open source code.

Constructor

PrincipalComponents

Method

voidbuildEvaluator(Instances data)
Initializes principal components and performs the analysis
double[][]getCorrelationMatrix()
Return the correlation/covariance matrix
double[]getEigenValues()
Return the eigenvalues corresponding to the eigenvectors
double[][]getUnsortedEigenVectors()
Return the unsorted eigenvectors
voidsetCenterData(boolean center)
Set whether to center (rather than standardize) the data.
voidsetMaximumAttributeNames(int m)
Sets maximum number of attributes to include in transformed attribute names.
voidsetVarianceCovered(double vc)
Sets the amount of variance to account for when retaining principal components