Package unifeat.featureSelection.filter.unsupervised

Class UFSACO

java.lang.Object

unifeat.featureSelection.FeatureSelection

unifeat.featureSelection.filter.FilterApproach

unifeat.featureSelection.filter.unsupervised.UFSACO

public class UFSACO
extends FilterApproach

This java class is used to implement the unsupervised feature selection based on ant colony optimization (UFSACO) method.

Author:

Sina Tabakhi

See Also:

• FilterApproach
• FeatureSelection

Field Summary

Fields inherited from class unifeat.featureSelection.FeatureSelection

numClass, numFeatures, numSelectedFeature, selectedFeatureSubset, trainSet

Constructor Summary

Constructors

Constructor	Description
UFSACO(int sizeSelectedFeatureSubset, double initPheromone, int numIterations, int numAnt, int numFeatureOfAnt, double evaporationRate, double betaParameter, double q0_Parameter)	Initializes the parameters
UFSACO(Object... arguments)	Initializes the parameters

Method Summary

Modifier and Type	Method	Description
void	evaluateFeatures()	Starts the feature selection process by unsupervised feature selection based on ant colony optimization (UFSACO) method
String	validate()	This method returns the potential errors in the input parameters.

Methods inherited from class unifeat.featureSelection.filter.FilterApproach

newMethod

Methods inherited from class unifeat.featureSelection.FeatureSelection

getSelectedFeatureSubset, loadDataSet, loadDataSet, setNumSelectedFeature

Methods inherited from class java.lang.Object

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

Constructor Details

UFSACO

public UFSACO(Object... arguments)

Initializes the parameters

Parameters:

arguments - array of parameters contains (sizeSelectedFeatureSubset, initPheromone, numIterations, numAnt, numFeatureOfAnt, evaporationRate, betaParameter, q0_Parameter) in which sizeSelectedFeatureSubset is the number of selected features, initPheromone is the initial value of the pheromone, numIterations is the maximum number of iteration, numAnt is the number of ants, numFeatureOfAnt is the number of selected features by each ant in each iteration, evaporationRate is the evaporation rate of the pheromone, betaParameter is the beta parameter in the state transition rule, and q0_Parameter is the q0 parameter in the state transition rule

UFSACO

public UFSACO(int sizeSelectedFeatureSubset,
 double initPheromone,
 int numIterations,
 int numAnt,
 int numFeatureOfAnt,
 double evaporationRate,
 double betaParameter,
 double q0_Parameter)

Initializes the parameters

Parameters:

sizeSelectedFeatureSubset - the number of selected features

initPheromone - the initial value of the pheromone

numIterations - the maximum number of iteration

numAnt - the number of ants

numFeatureOfAnt - the number of selected features by each ant in each iteration

evaporationRate - the evaporation rate of the pheromone

betaParameter - the beta parameter in the state transition rule

q0_Parameter - the q0 parameter in the state transition rule

Method Details

evaluateFeatures

public void evaluateFeatures()

Starts the feature selection process by unsupervised feature selection based on ant colony optimization (UFSACO) method

Specified by:

evaluateFeatures in class FeatureSelection

validate

public String validate()

This method returns the potential errors in the input parameters.

Overrides:

validate in class FeatureSelection

Returns:

a string contains the information about incorrect parameters