keel.Algorithms.Instance_Generation.LVQ

Class LVQ3

java.lang.Object

keel.Algorithms.Instance_Generation.Basic.PrototypeGenerator

keel.Algorithms.Instance_Generation.LVQ.LVQGenerator

keel.Algorithms.Instance_Generation.LVQ.LVQ1

keel.Algorithms.Instance_Generation.LVQ.LVQ2

keel.Algorithms.Instance_Generation.LVQ.LVQ3

public class LVQ3
extends LVQ2

LVQ3 algorithm for reduction prototype sets.

Author:

diegoj

Field Summary

Fields

Modifier and Type	Field and Description
double	DEFAULT_EPSILON Default value for the epsilon constant
protected double	epsilon Epsilon constant (multiplier of the window width)
protected double	epsilonTimesAlpha_0 Epsilon times alpha constant

Fields inherited from class keel.Algorithms.Instance_Generation.LVQ.LVQ2

DEFAULT_WINDOW_WIDTH, windowLowerBound, windowWidth

Fields inherited from class keel.Algorithms.Instance_Generation.LVQ.LVQ1

alpha_0, ALPHA_DEFAULT_VALUE, chosenRandomIndex, IALPHA, randomIndexes

Fields inherited from class keel.Algorithms.Instance_Generation.LVQ.LVQGenerator

initial, initialset, iterations, numberOfPrototypesGenerated

Fields inherited from class keel.Algorithms.Instance_Generation.Basic.PrototypeGenerator

algorithmName, generatedDataSet, SEED, seedDefaultValueList, trainingDataSet

Constructor Summary

Constructors

Constructor and Description
LVQ3(PrototypeSet tDataSet, int iter, double pcNprot, double alpha_0, double windowWidth, double epsilon) Construct a new LVQ3 algorithm.
LVQ3(PrototypeSet tDataSet, int iter, int nProt, double alpha_0, double windowWidth, double epsilon) Construct a new LVQ3 algorithm.
LVQ3(PrototypeSet tDataSet, Parameters par) Construct a new LVQ3 algorithm.
LVQ3(PrototypeSet InitialSet, PrototypeSet tDataSet, int iter, int nProt, double alpha_0, double windowWidth, double epsilon) WITH INITIAL CODE-BOOKS Construct a new LVQ3 algorithm.

Method Summary

Modifier and Type	Method and Description
protected void	correct(Prototype x, PrototypeSet tData) Corrects the instance using a particular method
static void	main(java.lang.String[] args) General main for all the prototoype generators Arguments: 0: Filename with the training data set to be condensed. 1: Filename wich will contain the test data set 3: k Number of neighbors used in the KNN function
protected void	penalize(Prototype m, Prototype x) Applies LVQ3-penalization to prototype m
protected void	reward(Prototype m, Prototype x) Applies LVQ3-reward to prototype m
protected void	reward2(Prototype m, Prototype x) USING EPSILON parameter.

Methods inherited from class keel.Algorithms.Instance_Generation.LVQ.LVQ1

extract, initDataSet, initDataSetRandomMode

Methods inherited from class keel.Algorithms.Instance_Generation.LVQ.LVQGenerator

reduceSet

Methods inherited from class keel.Algorithms.Instance_Generation.Basic.PrototypeGenerator

absoluteAccuracy, absoluteAccuracyAndError, absoluteAccuracyKNN, accuracy, accuracy2, desordenar_vector_sin, desordenar_vector, execute, generateReducedDataSet, getResultingAccuracy, getResultingAccuracy, getResults, getResultsOfAccuracy, getResultsOfAccuracy, getSeed, getSetSizeFromPercentage, getSetSizeFromPercentage, getTime, inic_vector_sin, inic_vector, saveResultsOfAccuracyIn, saveResultsOfAccuracyIn, selecRandomSet, setSeed, showResultsOfAccuracy, showResultsOfAccuracy

Methods inherited from class java.lang.Object

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

Field Detail

DEFAULT_EPSILON

public final double DEFAULT_EPSILON

Default value for the epsilon constant

See Also:

Constant Field Values

epsilon

protected double epsilon

Epsilon constant (multiplier of the window width)

epsilonTimesAlpha_0

protected double epsilonTimesAlpha_0

Epsilon times alpha constant

Constructor Detail

LVQ3

public LVQ3(PrototypeSet tDataSet,
            int iter,
            int nProt,
            double alpha_0,
            double windowWidth,
            double epsilon)

Construct a new LVQ3 algorithm.

Parameters:

tDataSet - Training data set.

iter - Number of iteratios of the algorithm.

nProt - Number of prototypes generated.

alpha_0 - Alpha constant.

windowWidth - Window width constant.

epsilon - Epsilon constant.

LVQ3

public LVQ3(PrototypeSet InitialSet,
            PrototypeSet tDataSet,
            int iter,
            int nProt,
            double alpha_0,
            double windowWidth,
            double epsilon)

WITH INITIAL CODE-BOOKS Construct a new LVQ3 algorithm.

Parameters:

InitialSet - Initial dataset

tDataSet - Training data set.

iter - Number of iteratios of the algorithm.

nProt - Number of prototypes generated.

alpha_0 - Alpha constant.

windowWidth - Window width constant.

epsilon - Epsilon constant.

LVQ3

public LVQ3(PrototypeSet tDataSet,
            int iter,
            double pcNprot,
            double alpha_0,
            double windowWidth,
            double epsilon)

Construct a new LVQ3 algorithm.

Parameters:

tDataSet - Training data set.

iter - Number of iteratios of the algorithm.

pcNprot - Number of prototypes generated as percentage of training size.

alpha_0 - Alpha constant.

windowWidth - Window width constant.

epsilon - Epsilon constant.

LVQ3

public LVQ3(PrototypeSet tDataSet,
            Parameters par)

Construct a new LVQ3 algorithm.

Parameters:

tDataSet - Training data set.

par - Parameters of the algorithm.

Method Detail

reward

protected void reward(Prototype m,
                      Prototype x)

Applies LVQ3-reward to prototype m

Overrides:

reward in class LVQ1

Parameters:

m - Rewarded prototype. IT IS MODIFIED.

x - Nearest prototype to m.

reward2

protected void reward2(Prototype m,
                       Prototype x)

USING EPSILON parameter.

Parameters:

m -

x -

penalize

protected void penalize(Prototype m,
                        Prototype x)

Applies LVQ3-penalization to prototype m

Overrides:

penalize in class LVQ1

Parameters:

m - Penalized prototype. IT IS MODIFIED.

x - Nearest prototype to m.

correct

protected void correct(Prototype x,
                       PrototypeSet tData)

Corrects the instance using a particular method

Overrides:

correct in class LVQ2

Parameters:

x - is a instance of the instance set. IS MODIFIED.

tData - is the training data set.

main

public static void main(java.lang.String[] args)

General main for all the prototoype generators Arguments: 0: Filename with the training data set to be condensed. 1: Filename wich will contain the test data set 3: k Number of neighbors used in the KNN function

Parameters:

args - Arguments of the main function.