Package elki.clustering.kmeans.initialization

Class AbstractKMeansInitialization

java.lang.Object

elki.clustering.kmeans.initialization.AbstractKMeansInitialization

All Implemented Interfaces:

KMeansInitialization

Direct Known Subclasses:

FarthestPoints, KMC2, KMeansPlusPlus, Ostrovsky, Predefined, RandomlyChosen, RandomNormalGenerated, RandomUniformGenerated, SampleKMeans, SphericalKMeansPlusPlus

public abstract class AbstractKMeansInitialization
extends java.lang.Object
implements KMeansInitialization

Abstract base class for common k-means initializations.

Since:

0.5.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

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

Field Summary

Fields

Modifier and Type	Field	Description
protected elki.utilities.random.RandomFactory	rnd	Random number generator

Constructor Summary

Constructors

Constructor	Description
AbstractKMeansInitialization(elki.utilities.random.RandomFactory rnd)	Constructor.

Method Summary

Modifier and Type	Method	Description
static double[][]	unboxVectors(java.util.List<? extends elki.data.NumberVector> means)	Unbox database means to primitive means.

Methods inherited from class java.lang.Object

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

Methods inherited from interface elki.clustering.kmeans.initialization.KMeansInitialization

chooseInitialMeans

Field Detail

rnd

protected elki.utilities.random.RandomFactory rnd

Random number generator

Constructor Detail

AbstractKMeansInitialization

public AbstractKMeansInitialization(elki.utilities.random.RandomFactory rnd)

Constructor.

Parameters:

rnd - Random number generator.

Method Detail

unboxVectors

public static double[][] unboxVectors(java.util.List<? extends elki.data.NumberVector> means)

Unbox database means to primitive means.

Parameters:

means - Database means

Returns:

List of primitive double[] means