weka.classifiers.neural.lvq.initialise
Class ClusterAlgorithmInitialiser

java.lang.Object
  weka.classifiers.neural.lvq.initialise.CommonInitialiser
      weka.classifiers.neural.lvq.initialise.ClusterAlgorithmInitialiser

All Implemented Interfaces:

ModelInitialiser

Direct Known Subclasses:

FarthestFirstInitialiser, SimpleKMeansInitialiser

public abstract class ClusterAlgorithmInitialiser
extends CommonInitialiser

Date: 26/05/2004 File: CommonClusterAlgorithmInitialiser.java

Author:

Jason Brownlee

Constructor Summary

ClusterAlgorithmInitialiser(RandomWrapper aRand, weka.core.Instances aInstances, int aNumClusters)

Method Summary

double[]

getAttributes()

Methods inherited from class weka.classifiers.neural.lvq.initialise.CommonInitialiser

getAttributeDistanceList, getClassLables, initialiseCodebookVector

Methods inherited from class java.lang.Object

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

Constructor Detail

ClusterAlgorithmInitialiser

public ClusterAlgorithmInitialiser(RandomWrapper aRand,
                                   weka.core.Instances aInstances,
                                   int aNumClusters)

Method Detail

getAttributes

public double[] getAttributes()

Specified by:

getAttributes in class CommonInitialiser