keel.Algorithms.Discretizers.Cluster_Analysis

Class Cluster_Analysis

java.lang.Object

keel.Algorithms.Discretizers.Basic.Discretizer

keel.Algorithms.Discretizers.Cluster_Analysis.Cluster_Analysis

public class Cluster_Analysis
extends Discretizer

This class implements the Cluster Analysis discretizer.

Since:

JDK1.5

Version:

1.0

Author:

Written by Salvador García (University of Jaén) 17/03/2011

Field Summary

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

classOfInstances, cutPoints, iClassIndex, realAttributes, realValues

Constructor Summary

Constructors

Constructor and Description
Cluster_Analysis() Builder

Method Summary

Modifier and Type	Method and Description
void	buildCutPoints(InstanceSet is) It computes the cutpoints of the given dataset
protected java.util.Vector<java.lang.Double>	discretizeAttribute(int attribute, int[] values, int begin, int end) Returns a vector with the discretized values.
double	log2(double value) Calculate the log base 2 of a number

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

applyDiscretization, discretize, getCutPoint, getNumIntervals, sortValues

Methods inherited from class java.lang.Object

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

Constructor Detail

Cluster_Analysis

public Cluster_Analysis()

Builder

Method Detail

buildCutPoints

public void buildCutPoints(InstanceSet is)

It computes the cutpoints of the given dataset

Overrides:

buildCutPoints in class Discretizer

Parameters:

is - the examples of the dataset

discretizeAttribute

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

Returns a vector with the discretized values.

Specified by:

discretizeAttribute in class Discretizer

Parameters:

attribute -

values -

begin -

end -

Returns:

vector with the discretized values

log2

public double log2(double value)

Calculate the log base 2 of a number

Parameters:

value - Number to apply log base2

Returns:

log base 2