keel.Algorithms.Lazy_Learning.KSNN

Class KSNN

java.lang.Object

keel.Algorithms.Lazy_Learning.LazyAlgorithm

keel.Algorithms.Lazy_Learning.KSNN.KSNN

public class KSNN
extends LazyAlgorithm

File: KSNN.java The K Symetrical NN Algorithm. A enhanced K-NN classifier.For each test instance, votes are recieved from its K-Nearest Neighbors and, in addiction, from train instances who would accept the test instance as one of their K-Nearest Neighbors

Since:

JDK1.5

Version:

1.0

Author:

Written by Joaquín Derrac (University of Granada) 13/11/2008

Field Summary

Fields inherited from class keel.Algorithms.Lazy_Learning.LazyAlgorithm

confMatrix, initialTime, inputAtt, inputs, modelTime, name, nClasses, nInstances, nulls, outFile, output, prediction, predictions, probabilities, realClass, reference, referenceData, referenceFile, referenceOutput, relation, seed, temp, test, testData, testFile, testOutput, testTime, train, trainConfMatrix, trainData, trainFile, trainingTime, trainOutput, trainPrediction, trainRealClass, trainUnclassified, unclassified

Constructor Summary

Constructors

Constructor and Description
KSNN(java.lang.String script) The main method of the class

Method Summary

Modifier and Type	Method and Description
protected int	evaluate(double[] example) Evaluates a instance to predict its class.
void	getFurtherNeighbor() Calculates, for each train instance, the distance to its further K neighbour.
protected void	readParameters(java.lang.String script) Reads configuration script, to extract the parameter's values.

Methods inherited from class keel.Algorithms.Lazy_Learning.LazyAlgorithm

euclideanDistance, evaluate2, execute, executeReference, manhattanDistance, normalizeReference, normalizeTest, normalizeTrain, printInstance, readConfiguracion, readDataFiles, readDataFiles, readDataFiles, same, setInitialTime

Methods inherited from class java.lang.Object

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

Constructor Detail

KSNN

public KSNN(java.lang.String script)

The main method of the class

Parameters:

script - Name of the configuration script

Method Detail

readParameters

protected void readParameters(java.lang.String script)

Reads configuration script, to extract the parameter's values.

Specified by:

readParameters in class LazyAlgorithm

Parameters:

script - Name of the configuration script

getFurtherNeighbor

public void getFurtherNeighbor()

Calculates, for each train instance, the distance to its further K neighbour.

evaluate

protected int evaluate(double[] example)

Evaluates a instance to predict its class.

Specified by:

evaluate in class LazyAlgorithm

Parameters:

example - Instance evaluated

Returns:

Class predicted