keel.Algorithms.Instance_Generation.LVQ

Class LVQ2

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

Direct Known Subclasses:

LVQ2_1, LVQ3

public class LVQ2
extends LVQ1

LVQ2 algorithm

Author:

diegoj

Field Summary

Fields

Modifier and Type	Field and Description
double	DEFAULT_WINDOW_WIDTH Default value of the window width parameter
protected double	windowLowerBound Window width lower bound
protected double	windowWidth Window width parameter

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
LVQ2(PrototypeSet traDataSet, int it, double pcNProt, double alpha_0, double windowWidth) Constructs a new LVQ2 algorithm.
LVQ2(PrototypeSet traDataSet, int it, int nProt, double alpha_0, double windowWidth) Constructs a new LVQ2 algorithm.
LVQ2(PrototypeSet traDataSet, Parameters par) Constructs a new LVQ2 algorithm.
LVQ2(PrototypeSet InitialSet, PrototypeSet traDataSet, int it, int nProt, double alpha_0, double windowWidth) WITH INITIAL CODE-BOOKS Constructs a new LVQ2 algorithm.

Method Summary

Modifier and Type	Method and Description
protected void	correct(Prototype i, 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

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

extract, initDataSet, initDataSetRandomMode, penalize, reward

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_WINDOW_WIDTH

public final double DEFAULT_WINDOW_WIDTH

Default value of the window width parameter

See Also:

Constant Field Values

windowWidth

protected double windowWidth

Window width parameter

windowLowerBound

protected double windowLowerBound

Window width lower bound

Constructor Detail

LVQ2

public LVQ2(PrototypeSet traDataSet,
            int it,
            int nProt,
            double alpha_0,
            double windowWidth)

Constructs a new LVQ2 algorithm.

Parameters:

traDataSet - Training data prototypes

it - Number of iterations that will execute the algorithm.

nProt - Number of prototypes to be returned.

alpha_0 - Alpha algorithm parameter.

windowWidth - Window width parameter.

LVQ2

public LVQ2(PrototypeSet InitialSet,
            PrototypeSet traDataSet,
            int it,
            int nProt,
            double alpha_0,
            double windowWidth)

WITH INITIAL CODE-BOOKS Constructs a new LVQ2 algorithm.

Parameters:

InitialSet - Initial dataset.

traDataSet - Training data prototypes

it - Number of iterations that will execute the algorithm.

nProt - Number of prototypes to be returned.

alpha_0 - Alpha algorithm parameter.

windowWidth - Window width parameter.

LVQ2

public LVQ2(PrototypeSet traDataSet,
            int it,
            double pcNProt,
            double alpha_0,
            double windowWidth)

Constructs a new LVQ2 algorithm.

Parameters:

traDataSet - Training data prototypes

it - Number of iterations that will execute the algorithm.

pcNProt - Number of prototypes to be returned expressed as % of training size.

alpha_0 - Alpha algorithm parameter.

windowWidth - Window width parameter.

LVQ2

public LVQ2(PrototypeSet traDataSet,
            Parameters par)

Constructs a new LVQ2 algorithm.

Parameters:

traDataSet - Training data prototypes

par - Parameters of the algorithm.

Method Detail

correct

protected void correct(Prototype i,
                       PrototypeSet tData)

Corrects the instance using a particular method

Overrides:

correct in class LVQ1

Parameters:

i - 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.