Uses of Class
unifeat.featureSelection.filter.WeightedFilterApproach

Packages that use WeightedFilterApproach

Package	Description
unifeat.featureSelection.filter
unifeat.featureSelection.filter.supervised
unifeat.featureSelection.filter.unsupervised

Uses of WeightedFilterApproach in unifeat.featureSelection.filter

Methods in unifeat.featureSelection.filter that return WeightedFilterApproach

Modifier and Type	Method	Description
static WeightedFilterApproach	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.

Uses of WeightedFilterApproach in unifeat.featureSelection.filter.supervised

Subclasses of WeightedFilterApproach in unifeat.featureSelection.filter.supervised

Modifier and Type	Class	Description
class	FisherScore	This java class is used to implement the Fisher score method.
class	GainRatio	This java class is used to implement the gain ratio method.
class	GiniIndex	This java class is used to implement the Gini index method.
class	InformationGain	This java class is used to implement the information gain method.
class	LaplacianScore	This java class is used to implement the Laplacian score method.
class	SymmetricalUncertainty	This java class is used to implement the symmetrical uncertainty method.

Uses of WeightedFilterApproach in unifeat.featureSelection.filter.unsupervised

Subclasses of WeightedFilterApproach in unifeat.featureSelection.filter.unsupervised

Modifier and Type	Class	Description
class	LaplacianScore	This java class is used to implement the Laplacian score method.
class	TermVariance	This java class is used to implement the term variance method.