keel.Algorithms.Discretizers.HellingerBD

Class HellingerBD

java.lang.Object

keel.Algorithms.Discretizers.Basic.Discretizer

keel.Algorithms.Discretizers.HellingerBD.HellingerBD

public class HellingerBD
extends Discretizer

This class implements the HellingerBD discretizer

Since:

JDK1.6

Version:

1.0

Author:

Written by Jose A. Saez (University of Granada), 12/21/2009

Field Summary

Fields inherited from class keel.Algorithms.Discretizers.Basic.Discretizer

classOfInstances, cutPoints, iClassIndex, realAttributes, realValues

Constructor Summary

Constructors

Constructor and Description
HellingerBD() Constructor of the class

Method Summary

Modifier and Type	Method and Description
double	cutpointEntropy(int cutp) It computes the cutpoint entropy
protected java.util.Vector	discretizeAttribute(int attribute, int[] values, int begin, int end) It returns a vector with the discretized values
double	intervalEntropy(int interval, int attribute) It computes the interval entropy

Methods inherited from class keel.Algorithms.Discretizers.Basic.Discretizer

applyDiscretization, buildCutPoints, discretize, getCutPoint, getNumIntervals, sortValues

Methods inherited from class java.lang.Object

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

Constructor Detail

HellingerBD

public HellingerBD()

Constructor of the class

Method Detail

discretizeAttribute

protected java.util.Vector discretizeAttribute(int attribute,
                                               int[] values,
                                               int begin,
                                               int end)

It returns a vector with the discretized values

Specified by:

discretizeAttribute in class Discretizer

Parameters:

attribute - index of the attribute to discretize

values - vector of the indexes of the instances sorted from the lowest to the highest value of attribute

begin - index of the instance with the lowest value of attribute

end - index of the instance with the highest value of attribute

Returns:

vector with the discretized values

intervalEntropy

public double intervalEntropy(int interval,
                              int attribute)

It computes the interval entropy

Parameters:

interval - index of the interval

attribute - index of the attribute to discretize

Returns:

the entropy of the interval

cutpointEntropy

public double cutpointEntropy(int cutp)

It computes the cutpoint entropy

Parameters:

cutp - index of the cutpoint

Returns:

the entropy of the cutpoint