Package elki.clustering.kmeans.initialization

Class Ostrovsky.NumberVectorInstance

java.lang.Object

elki.clustering.kmeans.initialization.KMeansPlusPlus.Instance<NumberVector>

elki.clustering.kmeans.initialization.KMeansPlusPlus.NumberVectorInstance

elki.clustering.kmeans.initialization.Ostrovsky.NumberVectorInstance

Enclosing class:

Ostrovsky

protected class Ostrovsky.NumberVectorInstance
extends KMeansPlusPlus.NumberVectorInstance

Instance for number vectors.

Author:

Erich Schubert

Field Summary

Fields inherited from class elki.clustering.kmeans.initialization.KMeansPlusPlus.NumberVectorInstance

distance, relation

Fields inherited from class elki.clustering.kmeans.initialization.KMeansPlusPlus.Instance

diststat, ids, random, weights

Constructor Summary

Constructors

Constructor	Description
NumberVectorInstance(Relation<? extends NumberVector> relation, NumberVectorDistance<?> distance, RandomFactory rnd)	Constructor.

Method Summary

Modifier and Type	Method	Description
double[][]	run(Relation<? extends NumberVector> relation, int k)

Methods inherited from class elki.clustering.kmeans.initialization.KMeansPlusPlus.NumberVectorInstance

chooseRemaining, distance, run

Methods inherited from class elki.clustering.kmeans.initialization.KMeansPlusPlus.Instance

initialWeights, nextDouble, updateWeights

Methods inherited from class java.lang.Object

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

Constructor Detail

NumberVectorInstance

public NumberVectorInstance(Relation<? extends NumberVector> relation,
                            NumberVectorDistance<?> distance,
                            RandomFactory rnd)

Constructor.

Parameters:

relation - Data relation

distance - Distance function

rnd - Random generator

Method Detail

run

public double[][] run(Relation<? extends NumberVector> relation,
                      int k)