Uses of Class
unifeat.featureSelection.embedded.EmbeddedApproach

Packages that use EmbeddedApproach

Package	Description
unifeat.featureSelection.embedded
unifeat.featureSelection.embedded.SVMBasedMethods
unifeat.featureSelection.embedded.TreeBasedMethods

Uses of EmbeddedApproach in unifeat.featureSelection.embedded

Methods in unifeat.featureSelection.embedded that return EmbeddedApproach

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

Uses of EmbeddedApproach in unifeat.featureSelection.embedded.SVMBasedMethods

Subclasses of EmbeddedApproach 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 EmbeddedApproach in unifeat.featureSelection.embedded.TreeBasedMethods

Subclasses of EmbeddedApproach 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.