keel.Algorithms.Discretizers.OneR

Class OneR

java.lang.Object

keel.Algorithms.Discretizers.Basic.Discretizer

keel.Algorithms.Discretizers.OneR.OneR

public class OneR
extends Discretizer

This class implements the OneR discretizer

Since:

JDK 1.5

Version:

0.1

Author:

Written by Julián Luengo Martín 28/10/2008

Field Summary

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

classOfInstances, cutPoints, iClassIndex, realAttributes, realValues

Constructor Summary

Constructors

Constructor and Description
OneR(int minimum) Parameter constructor.

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.
int	indexOfMax(int[] vec) Looks for the index of the maximum element in the array

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

OneR

public OneR(int minimum)

Parameter constructor. Initializes the minimum number of explanatory values with the same class in an interval with the parameter given.

Parameters:

minimum - given minimum number of explanatory.

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

indexOfMax

public int indexOfMax(int[] vec)

Looks for the index of the maximum element in the array

Parameters:

vec - the array of elements

Returns:

the maximum element in vec