keel.Algorithms.Decision_Trees.C45_Binarization

Class ENN

java.lang.Object

keel.Algorithms.Decision_Trees.C45_Binarization.Metodo

keel.Algorithms.Decision_Trees.C45_Binarization.ENN

public class ENN
extends Metodo

File: ENN.java The ENN Instance Selection algorithm.

Since:

JDK1.5

Version:

0.1

Author:

Written by Salvador García (University of Granada) 20/07/2004

Field Summary

Fields inherited from class keel.Algorithms.Decision_Trees.C45_Binarization.Metodo

clasesTest, clasesTrain, datosTest, datosTrain, distanceEu, entradas, ficheroSalida, ficheroTest, ficheroTraining, nEntradas, nominalDistance, nominalTest, nominalTrain, nulosTest, nulosTrain, realTest, realTrain, relation, salida, stdDev, test, training

Constructor Summary

Constructors

Constructor and Description
ENN(java.lang.String ficheroScript) Default builder.

Method Summary

Modifier and Type	Method and Description
void	ejecutar() Executes the algorithm
int	evaluaKNN(int i, int[] vecinos, double[] distancias, int[] votos, boolean test, boolean distanceEu) Executes KNN to predict the class of the instance i.
int	getK() Returns the number k of the NN used.
void	leerConfiguracion(java.lang.String ficheroScript) Reads configuration script, and extracts its contents.
void	setK(int k) Sets the number of NN used.

Methods inherited from class keel.Algorithms.Decision_Trees.C45_Binarization.Metodo

normalizar

Methods inherited from class java.lang.Object

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

Constructor Detail

ENN

public ENN(java.lang.String ficheroScript)

Default builder. Construct the algoritm by using the superclass builder.

Parameters:

ficheroScript - Name of the configuration files.

Method Detail

setK

public void setK(int k)

Sets the number of NN used.

Parameters:

k - number of NN used.

getK

public int getK()

Returns the number k of the NN used.

Returns:

the number k of the NN used.

evaluaKNN

public int evaluaKNN(int i,
                     int[] vecinos,
                     double[] distancias,
                     int[] votos,
                     boolean test,
                     boolean distanceEu)

Executes KNN to predict the class of the instance i.

Parameters:

i - Index of the instance to predict.

vecinos - Resulting neighbors of the new instance.

distancias - Resulting distances to each neighbor.

votos - Resulting votes for each class.

test - True if the instance belong to the test dataset.

distanceEu - True= Euclidean distance; False= HVDM

Returns:

Class of the new instance

ejecutar

public void ejecutar()

Executes the algorithm

leerConfiguracion

public void leerConfiguracion(java.lang.String ficheroScript)

Reads configuration script, and extracts its contents.

Overrides:

leerConfiguracion in class Metodo

Parameters:

ficheroScript - Name of the configuration script