keel.Algorithms.Statistical_Classifiers.Shared.DiscrAnalysis

Class AD

java.lang.Object

keel.Algorithms.Statistical_Classifiers.Shared.DiscrAnalysis.AD

public class AD
extends java.lang.Object

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

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
void	AlmacenaParametros(double[] pesos) Stores the parameters of the LDA or QDA in the array given.
static int	argmax(double[] x) Returns the index of the maximum element of the array given.
java.lang.String	AString(double[] s) Returns a String representation of the array given.
java.lang.String	AString(double[][] s) Returns a String representation of the array of arrays given.
void	computeParameter(boolean lineal) Computes the different parameters for the algorithm where the DA will be used.
double[]	distances(double[] x) Computes the distances for the values given.
void	RecuperaParametros(double[] pesos) Recovers the parameters of the LDA or QDA stored in the array 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

computeParameter

public void computeParameter(boolean lineal)
                      throws ErrorDimension,
                             ErrorSingular

Computes the different parameters for the algorithm where the DA will be used.

Parameters:

lineal - Lineal (True) or Quadratic (False) flag.

Throws:

ErrorDimension - Dimension matrix error.

ErrorSingular - Sigular matrix error.

AString

public java.lang.String AString(double[] s)

Returns a String representation of the array given.

Parameters:

s - array given.

Returns:

a String representation of the array given.

AString

public java.lang.String AString(double[][] s)

Returns a String representation of the array of arrays given.

Parameters:

s - array of arrays given.

Returns:

a String representation of the array of arrays given.

distances

public double[] distances(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.

AlmacenaParametros

public void AlmacenaParametros(double[] pesos)

Stores the parameters of the LDA or QDA in the array given.

Parameters:

pesos - array where the parameters will be stored.

RecuperaParametros

public void RecuperaParametros(double[] pesos)

Recovers the parameters of the LDA or QDA stored in the array given. This array should be filled by the method AlmacenaParametros

Parameters:

pesos - array given.

argmax

public static 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.