de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization

Class AbstractKMeansInitialization<V extends NumberVector>

java.lang.Object

de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.AbstractKMeansInitialization<V>

Type Parameters:

V - Vector type

All Implemented Interfaces:

KMeansInitialization<V>

Direct Known Subclasses:

FarthestPointsInitialMeans, KMeansPlusPlusInitialMeans, PredefinedInitialMeans, RandomlyChosenInitialMeans, RandomlyGeneratedInitialMeans, SampleKMeansInitialization

public abstract class AbstractKMeansInitialization<V extends NumberVector>
extends Object
implements KMeansInitialization<V>

Abstract base class for common k-means initializations.

Since:

0.3

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	AbstractKMeansInitialization.Parameterizer Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
protected RandomFactory	rnd Random number generator

Constructor Summary

Constructors

Constructor and Description
AbstractKMeansInitialization(RandomFactory rnd) Constructor.

Method Summary

Methods inherited from class java.lang.Object

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

Methods inherited from interface de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.KMeansInitialization

chooseInitialMeans

Field Detail

rnd

protected RandomFactory rnd

Random number generator

Constructor Detail

AbstractKMeansInitialization

public AbstractKMeansInitialization(RandomFactory rnd)

Constructor.

Parameters:

rnd - Random number generator.