Package unifeat.featureSelection.filter.supervised

Class GiniIndex

java.lang.Object

unifeat.featureSelection.FeatureSelection

unifeat.featureSelection.FeatureWeighting

unifeat.featureSelection.filter.WeightedFilterApproach

unifeat.featureSelection.filter.supervised.GiniIndex

public class GiniIndex
extends WeightedFilterApproach

This java class is used to implement the Gini index method.

Author:

Sina Tabakhi

See Also:

• WeightedFilterApproach
• FeatureWeighting
• FeatureSelection

Field Summary

Fields inherited from class unifeat.featureSelection.FeatureWeighting

featureValues

Fields inherited from class unifeat.featureSelection.FeatureSelection

numClass, numFeatures, numSelectedFeature, selectedFeatureSubset, trainSet

Constructor Summary

Constructors

Constructor	Description
GiniIndex(int sizeSelectedFeatureSubset)	Initializes the parameters
GiniIndex(Object... arguments)	Initializes the parameters

Method Summary

Modifier and Type	Method	Description
private double	computeGini(int indexStart, int indexEnd)	Computes the gini value of the data given by start and end indices
void	evaluateFeatures()	Starts the feature selection process by Gini index(GI) method

Methods inherited from class unifeat.featureSelection.filter.WeightedFilterApproach

newMethod

Methods inherited from class unifeat.featureSelection.FeatureWeighting

getFeatureValues

Methods inherited from class unifeat.featureSelection.FeatureSelection

getSelectedFeatureSubset, loadDataSet, loadDataSet, setNumSelectedFeature, validate

Methods inherited from class java.lang.Object

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

Constructor Details

GiniIndex

public GiniIndex(Object... arguments)

Initializes the parameters

Parameters:

arguments - array of parameters contains (sizeSelectedFeatureSubset) in which sizeSelectedFeatureSubset is the number of selected features

GiniIndex

public GiniIndex(int sizeSelectedFeatureSubset)

Initializes the parameters

Parameters:

sizeSelectedFeatureSubset - the number of selected features

Method Details

computeGini

private double computeGini(int indexStart,
 int indexEnd)

Computes the gini value of the data given by start and end indices

Parameters:

indexStart - the start index of the dataset

indexEnd - the end index of the dataset

Returns:

the gini value

evaluateFeatures

public void evaluateFeatures()

Starts the feature selection process by Gini index(GI) method

Specified by:

evaluateFeatures in class FeatureSelection