Package unifeat.featureSelection.embedded.SVMBasedMethods

Class OVO_SVM_RFE

java.lang.Object

unifeat.featureSelection.FeatureSelection

unifeat.featureSelection.embedded.EmbeddedApproach

unifeat.featureSelection.embedded.SVMBasedMethods.SVMBasedMethods

unifeat.featureSelection.embedded.SVMBasedMethods.OVO_SVM_RFE

public class OVO_SVM_RFE
extends SVMBasedMethods

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.

Author:

Sina Tabakhi

See Also:

• SVMBasedMethods
• EmbeddedApproach
• FeatureSelection

Field Summary

Fields inherited from class unifeat.featureSelection.embedded.SVMBasedMethods.SVMBasedMethods

classLabelInTrainSet, kernelType, parameterC, TEMP_PATH

Fields inherited from class unifeat.featureSelection.embedded.EmbeddedApproach

classLabel, nameFeatures, PROJECT_PATH

Fields inherited from class unifeat.featureSelection.FeatureSelection

numClass, numFeatures, numSelectedFeature, selectedFeatureSubset, trainSet

Constructor Summary

Constructors

Constructor	Description
OVO_SVM_RFE(Object... arguments)	Initializes the parameters
OVO_SVM_RFE(String path, SVMKernelType kernelType, double c)	Initializes the parameters

Method Summary

Modifier and Type	Method	Description
void	evaluateFeatures()	Starts the feature selection process by support vector machine method based on recursive feature elimination using One-Versus-One strategy (OVO_SVM_RFE)

Methods inherited from class unifeat.featureSelection.embedded.SVMBasedMethods.SVMBasedMethods

buildSVM_OneAgainstOne, buildSVM_OneAgainstRest, createClassLabel

Methods inherited from class unifeat.featureSelection.embedded.EmbeddedApproach

loadDataSet, loadDataSet, newMethod, originalFeatureSet

Methods inherited from class unifeat.featureSelection.FeatureSelection

getSelectedFeatureSubset, setNumSelectedFeature, validate

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

OVO_SVM_RFE

public OVO_SVM_RFE(Object... arguments)

Initializes the parameters

Parameters:

arguments - array of parameters contains (path, kernelType, Parameter c) in which path is the path of the project, kernelType is the type of kernel to use, and Parameter c is the complexity parameter C

OVO_SVM_RFE

public OVO_SVM_RFE(String path,
 SVMKernelType kernelType,
 double c)

Initializes the parameters

Parameters:

path - the path of the project

kernelType - the type of kernel to use

c - the complexity parameter C

Method Details

evaluateFeatures

public void evaluateFeatures()

Starts the feature selection process by support vector machine method based on recursive feature elimination using One-Versus-One strategy (OVO_SVM_RFE)

Specified by:

evaluateFeatures in class FeatureSelection