keel.Algorithms.Discretizers.Random_Discretizer

Class RandomDiscretizer

java.lang.Object

keel.Algorithms.Discretizers.Basic.Discretizer

keel.Algorithms.Discretizers.Random_Discretizer.RandomDiscretizer

public class RandomDiscretizer
extends Discretizer

This class implements the Random Discretizer

Field Summary

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

classOfInstances, cutPoints, iClassIndex, realAttributes, realValues

Constructor Summary

Constructors

Constructor and Description
RandomDiscretizer()

Method Summary

Modifier and Type	Method and Description
protected java.util.Vector	discretizeAttribute(int attribute, int[] values, int begin, int end) This abstract method creates the cut points of the attribute given using its values for each instances given.

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

RandomDiscretizer

public RandomDiscretizer()

Method Detail

discretizeAttribute

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

Description copied from class: Discretizer

This abstract method creates the cut points of the attribute given using its values for each instances given. Every discretizer should implement this method with its particular scheme.

Specified by:

discretizeAttribute in class Discretizer

Parameters:

attribute - given attribute to discretize.

values - given attribute values in the dataset.

begin - First position of the section to discretize.

end - Last position of the section to discretize.

Returns:

the cut points of the attribute given