Package elki.clustering.kmeans

Class LloydKMeans.Par<V extends NumberVector>

java.lang.Object

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

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

All Implemented Interfaces:

Parameterizer

Enclosing class:

LloydKMeans<V extends NumberVector>

public static class LloydKMeans.Par<V extends NumberVector>
extends AbstractKMeans.Par<V>

Parameterization class.

Author:

Erich Schubert

Field Summary

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
LloydKMeans<V>	make()	Make an instance after successful configuration.

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

configure, 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 LloydKMeans<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

Specified by:

make in class AbstractKMeans.Par<V extends NumberVector>

Returns:

a new instance