Catalano.MachineLearning.FeatureSelection

Class MeanVarianceFeatureSelection

java.lang.Object

Catalano.MachineLearning.FeatureSelection.MeanVarianceFeatureSelection

All Implemented Interfaces:

ISupervisionedFeatureSelection

public class MeanVarianceFeatureSelection
extends java.lang.Object
implements ISupervisionedFeatureSelection

Mean Variance feature selection.

Constructor Summary

Constructors

Constructor and Description
MeanVarianceFeatureSelection() Initializes a new instance of the MeanVarianceFeatureSelection class.

Method Summary

Modifier and Type	Method and Description
void	Compute(DatasetClassification dataset) Compute the feature selection.
void	Compute(double[][] input, int[] labels) Compute the feature selection.
int[]	getFeatureIndex() Get the feature index.
double[]	getRank() Get the rank of the features.

Methods inherited from class java.lang.Object

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

Constructor Detail

MeanVarianceFeatureSelection

public MeanVarianceFeatureSelection()

Initializes a new instance of the MeanVarianceFeatureSelection class.

Method Detail

Compute

public void Compute(DatasetClassification dataset)

Description copied from interface: ISupervisionedFeatureSelection

Compute the feature selection.

Specified by:

Compute in interface ISupervisionedFeatureSelection

Parameters:

dataset - Dataset.

Compute

public void Compute(double[][] input,
                    int[] labels)

Description copied from interface: ISupervisionedFeatureSelection

Compute the feature selection.

Specified by:

Compute in interface ISupervisionedFeatureSelection

Parameters:

input - Input.

labels - Labels.

getFeatureIndex

public int[] getFeatureIndex()

Description copied from interface: ISupervisionedFeatureSelection

Get the feature index.

Specified by:

getFeatureIndex in interface ISupervisionedFeatureSelection

Returns:

Feature index.

getRank

public double[] getRank()

Description copied from interface: ISupervisionedFeatureSelection

Get the rank of the features.

Specified by:

getRank in interface ISupervisionedFeatureSelection

Returns: