Package elki.clustering.kmeans

Class KDTreeFilteringKMeans.Par<V extends NumberVector>

java.lang.Object

elki.clustering.kmeans.AbstractKMeans.Par<V>

elki.clustering.kmeans.KDTreePruningKMeans.Par<V>

elki.clustering.kmeans.KDTreeFilteringKMeans.Par<V>

All Implemented Interfaces:

Parameterizer

Enclosing class:

KDTreeFilteringKMeans<V extends NumberVector>

public static class KDTreeFilteringKMeans.Par<V extends NumberVector>
extends KDTreePruningKMeans.Par<V>

Parameterization class.

Author:

Erich Schubert

Field Summary

Fields inherited from class elki.clustering.kmeans.KDTreePruningKMeans.Par

leafsize, LEAFSIZE_ID, split, SPLIT_ID

Fields inherited from class elki.clustering.kmeans.AbstractKMeans.Par

distance, initializer, k, maxiter, varstat

Constructor Summary

Constructors

Constructor	Description
Par()

Method Summary

Modifier and Type	Method	Description
KDTreeFilteringKMeans<V>	make()	Make an instance after successful configuration.

Methods inherited from class elki.clustering.kmeans.KDTreePruningKMeans.Par

configure

Methods inherited from class elki.clustering.kmeans.AbstractKMeans.Par

getParameterDistance, getParameterInitialization, getParameterK, getParameterMaxIter, getParameterVarstat, needsMetric

Methods inherited from class java.lang.Object

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

Constructor Detail

Par

public Par()

Method Detail

make

public KDTreeFilteringKMeans<V> make()

Description copied from interface: Parameterizer

Make an instance after successful configuration.

Note: your class should return the exact type, only this very broad interface should use Object as return type.

Specified by:

make in interface Parameterizer

Overrides:

make in class KDTreePruningKMeans.Par<V extends NumberVector>

Returns:

a new instance