Uses of Class
unifeat.featureSelection.FeatureSelection

Packages that use FeatureSelection

Package	Description
unifeat.featureSelection
unifeat.featureSelection.embedded
unifeat.featureSelection.embedded.SVMBasedMethods
unifeat.featureSelection.embedded.TreeBasedMethods
unifeat.featureSelection.filter
unifeat.featureSelection.filter.supervised
unifeat.featureSelection.filter.unsupervised
unifeat.featureSelection.hybrid
unifeat.featureSelection.wrapper
unifeat.featureSelection.wrapper.ACOBasedMethods
unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO
unifeat.featureSelection.wrapper.GABasedMethods
unifeat.featureSelection.wrapper.GABasedMethods.HGAFS
unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA
unifeat.featureSelection.wrapper.PSOBasedMethods
unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO
unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO
unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS
unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42

Uses of FeatureSelection in unifeat.featureSelection

Subclasses of FeatureSelection in unifeat.featureSelection

Modifier and Type	Class	Description
class	FeatureWeighting	The abstract class contains the main methods and fields that are used in all feature weighting methods.

Uses of FeatureSelection in unifeat.featureSelection.embedded

Subclasses of FeatureSelection in unifeat.featureSelection.embedded

Modifier and Type	Class	Description
class	EmbeddedApproach	The abstract class contains the main methods and fields that are used in all embedded-based feature selection methods.

Uses of FeatureSelection in unifeat.featureSelection.embedded.SVMBasedMethods

Subclasses of FeatureSelection in unifeat.featureSelection.embedded.SVMBasedMethods

Modifier and Type	Class	Description
class	MSVM_RFE	This java class is used to implement MSVM_RFE method for binary classification based on SVM_RFE method (support vector machine method based on recursive feature elimination) in which multiple linear SVMs trained on subsamples of the original training data.
class	OVA_SVM_RFE	This java class is used to implement OVA_SVM_RFE method for multiclass classification based on SVM_RFE method (support vector machine method based on recursive feature elimination) in which One-Versus-All (OVA) strategy is applied to construct binary classifiers.
class	OVO_SVM_RFE	This java class is used to implement OVO_SVM_RFE method for multiclass classification based on SVM_RFE method (support vector machine method based on recursive feature elimination) in which One-Versus-One (OVO) strategy is applied to construct binary classifiers.
class	SVM_RFE	This java class is used to implement support vector machine method based on recursive feature elimination (SVM_RFE).
class	SVMBasedMethods	The abstract class contains the main methods and fields that are used in all SVM-based feature selection methods.

Uses of FeatureSelection in unifeat.featureSelection.embedded.TreeBasedMethods

Subclasses of FeatureSelection in unifeat.featureSelection.embedded.TreeBasedMethods

Modifier and Type	Class	Description
class	DecisionTreeBasedMethod	This java class is used to implement the decision tree based methods.
class	RandomForestMethod	This java class is used to implement the random forest based method for feature selection.
class	TreeBasedMethods	The abstract class contains the main methods and fields that are used in all Tree-based feature selection methods.

Uses of FeatureSelection in unifeat.featureSelection.filter

Subclasses of FeatureSelection in unifeat.featureSelection.filter

Modifier and Type	Class	Description
class	FilterApproach	The abstract class contains the main methods and fields that are used in all filter-based feature selection methods.
class	WeightedFilterApproach	The abstract class contains the main methods and fields that are used in all weighted filter feature selection methods.

Uses of FeatureSelection in unifeat.featureSelection.filter.supervised

Subclasses of FeatureSelection 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	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.
class	SymmetricalUncertainty	This java class is used to implement the symmetrical uncertainty method.

Uses of FeatureSelection in unifeat.featureSelection.filter.unsupervised

Subclasses of FeatureSelection 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	LaplacianScore	This java class is used to implement the Laplacian score 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	TermVariance	This java class is used to implement the term variance method.
class	UFSACO	This java class is used to implement the unsupervised feature selection based on ant colony optimization (UFSACO) method.

Uses of FeatureSelection in unifeat.featureSelection.hybrid

Subclasses of FeatureSelection in unifeat.featureSelection.hybrid

Modifier and Type	Class	Description
class	HybridApproach	The abstract class contains the main methods and fields that are used in all hybrid-based feature selection methods.

Uses of FeatureSelection in unifeat.featureSelection.wrapper

Subclasses of FeatureSelection in unifeat.featureSelection.wrapper

Modifier and Type	Class	Description
class	WrapperApproach	The abstract class contains the main methods and fields that are used in all wrapper-based feature selection methods.

Uses of FeatureSelection in unifeat.featureSelection.wrapper.ACOBasedMethods

Subclasses of FeatureSelection in unifeat.featureSelection.wrapper.ACOBasedMethods

Modifier and Type	Class	Description
class	BasicACO<ColonyType>	The abstract class contains the main methods and fields that are used in all ACO-based feature selection methods.

Uses of FeatureSelection in unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO

Subclasses of FeatureSelection in unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO

Modifier and Type	Class	Description
class	OptimalACO	This java class is used to implement feature selection method based on optimal ant colony optimization (Optimal ACO) in which the type of Colony is extended from Colony class.

Uses of FeatureSelection in unifeat.featureSelection.wrapper.GABasedMethods

Subclasses of FeatureSelection in unifeat.featureSelection.wrapper.GABasedMethods

Modifier and Type	Class	Description
class	BasicGA<PopulationType>	The abstract class contains the main methods and fields that are used in all GA-based feature selection methods.

Uses of FeatureSelection in unifeat.featureSelection.wrapper.GABasedMethods.HGAFS

Subclasses of FeatureSelection in unifeat.featureSelection.wrapper.GABasedMethods.HGAFS

Modifier and Type	Class	Description
class	HGAFS	This java class is used to implement feature selection method based on hybrid genetic algorithm for feature selection using local search (HGAFS) in which the type of Population is extended from Population class.

Uses of FeatureSelection in unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA

Subclasses of FeatureSelection in unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA

Modifier and Type	Class	Description
class	SimpleGA	This java class is used to implement feature selection method based on simple genetic algorithm (Simple GA) in which the type of Population is extended from Population class.

Uses of FeatureSelection in unifeat.featureSelection.wrapper.PSOBasedMethods

Subclasses of FeatureSelection in unifeat.featureSelection.wrapper.PSOBasedMethods

Modifier and Type	Class	Description
class	BasicPSO<SwarmType>	The abstract class contains the main methods and fields that are used in all PSO-based feature selection methods.

Uses of FeatureSelection in unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO

Subclasses of FeatureSelection in unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO

Modifier and Type	Class	Description
class	BPSO	This java class is used to implement feature selection method based on binary particle swarm optimization (BPSO) in which the type of Swarm is extended from Swarm class.

Uses of FeatureSelection in unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO

Subclasses of FeatureSelection in unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO

Modifier and Type	Class	Description
class	CPSO	This java class is used to implement feature selection method based on continuous particle swarm optimization (CPSO) in which the type of Swarm is extended from Swarm class.

Uses of FeatureSelection in unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS

Subclasses of FeatureSelection in unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS

Modifier and Type	Class	Description
class	HPSO_LS	This java class is used to implement feature selection based on hybrid particle swarm optimization method using local search (HPSO-LS) in which the type of Swarm is extended from Swarm class.

Uses of FeatureSelection in unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42

Subclasses of FeatureSelection in unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42

Modifier and Type	Class	Description
class	PSO42	This java class is used to implement feature selection method based on particle swarm optimization version 4-2(PSO(4-2)) with new initialization strategy and updating rule in which the type of Swarm is extended from Swarm class.