Uses of Class
unifeat.featureSelection.filter.FilterApproach

Packages that use FilterApproach

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

Uses of FilterApproach in unifeat.featureSelection.filter

Methods in unifeat.featureSelection.filter that return FilterApproach

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

Uses of FilterApproach in unifeat.featureSelection.filter.supervised

Subclasses of FilterApproach in unifeat.featureSelection.filter.supervised

Modifier and Type	Class	Description
class	MRMR	This java class is used to implement the minimal redundancy maximal relevance (mRMR) method.
class	RRFS	This java class is used to implement the relevance-redundancy feature selection(RRFS) method.

Uses of FilterApproach in unifeat.featureSelection.filter.unsupervised

Subclasses of FilterApproach in unifeat.featureSelection.filter.unsupervised

Modifier and Type	Class	Description
class	IRRFSACO_1	This java class is used to implement the incremental relevance-redundancy feature selection based on ant colony optimization, version1 (IRRFSACO_1) method.
class	IRRFSACO_2	This java class is used to implement the incremental relevance–redundancy feature selection based on ant colony optimization, version2 (IRRFSACO_2) method.
class	MGSACO	This java class is used to implement the microarray gene selection based on ant colony optimization (MGSACO) method.
class	MutualCorrelation	This java class is used to implement the mutual correlation method.
class	RRFS	This java class is used to implement the relevance-redundancy feature selection(RRFS) method.
class	RRFSACO_1	This java class is used to implement the relevance–redundancy feature selection based on ant colony optimization, version1 (RRFSACO_1) method.
class	RRFSACO_2	This java class is used to implement the relevance–redundancy feature selection based on ant colony optimization, version2 (RRFSACO_2) method.
class	RSM	This java class is used to implement the random subspace method(RSM) method.
class	UFSACO	This java class is used to implement the unsupervised feature selection based on ant colony optimization (UFSACO) method.