keel.Algorithms.PSO_Learning.PSOLDA

Class AD

java.lang.Object

keel.Algorithms.PSO_Learning.PSOLDA.AD

public class AD
extends java.lang.Object

Title: AD.

Linear and Quadratic discriminant analysis, with a normal distribution of the examples for each class.

Company: KEEL

Version:

1.0

Author:

Jose A. Saez Munoz

Constructor Summary

Constructors

Constructor and Description
AD(double[][] vejemplos, double[][] vdeseado) Parameter constructor.

Method Summary

Modifier and Type	Method and Description
int	argmax(double[] x) Returns the index of the maximum element of the array given.
void	CalculaParametros() Computes the different parameters for the algorithm PSOLDA
java.lang.String[]	Coeficientes() Computes the Coeficients
double[]	distancias(double[] x) Computes the distances for the values given.

Methods inherited from class java.lang.Object

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

Constructor Detail

AD

public AD(double[][] vejemplos,
          double[][] vdeseado)

Parameter constructor.

Parameters:

vejemplos - examples considered.

vdeseado - examples desired.

Method Detail

CalculaParametros

public void CalculaParametros()
                       throws ErrorDimension,
                              ErrorSingular

Computes the different parameters for the algorithm PSOLDA

Throws:

ErrorDimension - Dimension matrix error.

ErrorSingular - Sigular matrix error.

distancias

public double[] distancias(double[] x)
                    throws ErrorDimension,
                           ErrorSingular

Computes the distances for the values given.

Parameters:

x - values given to compute the distance.

Returns:

the distances computed.

Throws:

ErrorDimension - Dimension matrix error.

ErrorSingular - Sigular matrix error.

Coeficientes

public java.lang.String[] Coeficientes()
                                throws ErrorDimension,
                                       ErrorSingular

Computes the Coeficients

Returns:

the Coeficients

Throws:

ErrorDimension - Dimension matrix error.

ErrorSingular - Sigular matrix error.

argmax

public int argmax(double[] x)

Returns the index of the maximum element of the array given.

Parameters:

x - array given.

Returns:

the index of the maximum element of the array given.