Package elki.clustering.kmeans.initialization

Class AFKMC2.Instance

java.lang.Object

elki.clustering.kmeans.initialization.KMC2.Instance

elki.clustering.kmeans.initialization.AFKMC2.Instance

Direct Known Subclasses:

SphericalAFKMC2.Instance

Enclosing class:

AFKMC2

protected static class AFKMC2.Instance
extends KMC2.Instance

Abstract instance implementing the weight handling.

Author:

Erich Schubert

Field Summary

Fields inherited from class elki.clustering.kmeans.initialization.KMC2.Instance

distance, diststat, m, random, relation, weights

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method	Description
protected Logging	getLogger()	Class logger.
protected DBIDRef	sample(double weightsum)	Weighted sampling.

Methods inherited from class elki.clustering.kmeans.initialization.KMC2.Instance

chooseRemaining, distance, distance, initialWeights, run

Methods inherited from class java.lang.Object

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

Constructor Detail

Instance

public Instance(Relation<? extends NumberVector> relation,
                NumberVectorDistance<?> distance,
                int m,
                RandomFactory rnd)

Constructor.

Parameters:

relation - Data relation to process

distance - Distance function

m - M parameter

rnd - Random generator

Method Detail

sample

protected DBIDRef sample(double weightsum)

Description copied from class: KMC2.Instance

Weighted sampling.

Overrides:

sample in class KMC2.Instance

Parameters:

weightsum - Total weight sum.

Returns:

Sampled object

getLogger

protected Logging getLogger()

Description copied from class: KMC2.Instance

Class logger.

Overrides:

getLogger in class KMC2.Instance

Returns:

Logger