Package unifeat.featureSelection.filter

Class WeightedFilterApproach

java.lang.Object

unifeat.featureSelection.FeatureSelection

unifeat.featureSelection.FeatureWeighting

unifeat.featureSelection.filter.WeightedFilterApproach

Direct Known Subclasses:

FisherScore, GainRatio, GiniIndex, InformationGain, LaplacianScore, LaplacianScore, SymmetricalUncertainty, TermVariance

public abstract class WeightedFilterApproach
extends FeatureWeighting

The abstract class contains the main methods and fields that are used in all weighted filter feature selection methods.

Author:

Sina Tabakhi

See Also:

• FeatureWeighting

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
WeightedFilterApproach(int sizeSelectedFeatureSubset)	Initializes the parameters

Method Summary

Modifier and Type	Method	Description
static WeightedFilterApproach	newMethod(FilterType type, boolean isSupervised, Object... arguments)	This method creates new object from one of the classes that has been inherited from the WeightedFilterApproach class according to type of the feature selection method.

Methods inherited from class unifeat.featureSelection.FeatureWeighting

getFeatureValues

Methods inherited from class unifeat.featureSelection.FeatureSelection

evaluateFeatures, 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

WeightedFilterApproach

public WeightedFilterApproach(int sizeSelectedFeatureSubset)

Initializes the parameters

Parameters:

sizeSelectedFeatureSubset - the size of selected features subset

Method Details

newMethod

public static WeightedFilterApproach newMethod(FilterType type,
 boolean isSupervised,
 Object... arguments)

This method creates new object from one of the classes that has been inherited from the WeightedFilterApproach class according to type of the feature selection method.

Parameters:

type - type of the weighted filter feature selection method

isSupervised - shows whether a method is supervised or unsupervised

arguments - a list of arguments that is applied in the feature selection method

Returns:

the created object that has been inherited from the WeightedFilterApproach class