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

Class RandomlyChosenInitialMeans<V>

java.lang.Object

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

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

Type Parameters:

V - Vector type

All Implemented Interfaces:

KMeansInitialization<V>, KMedoidsInitialization<V>

public class RandomlyChosenInitialMeans<V>
extends AbstractKMeansInitialization<V>
implements KMedoidsInitialization<V>

Initialize K-means by randomly choosing k exsiting elements as cluster centers.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	RandomlyChosenInitialMeans.Parameterizer<V> Parameterization class.

Field Summary

Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeansInitialization

rnd

Constructor Summary

Constructors

Constructor and Description
RandomlyChosenInitialMeans(RandomFactory rnd) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
List<V>	chooseInitialMeans(Relation<V> relation, int k, PrimitiveDistanceFunction<? super V,?> distanceFunction) Choose initial means
DBIDs	chooseInitialMedoids(int k, DistanceQuery<? super V,?> distanceFunction) Choose initial means

Methods inherited from class java.lang.Object

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

Constructor Detail

RandomlyChosenInitialMeans

public RandomlyChosenInitialMeans(RandomFactory rnd)

Constructor.

Parameters:

rnd - Random generator.

Method Detail

chooseInitialMeans

public List<V> chooseInitialMeans(Relation<V> relation,
                         int k,
                         PrimitiveDistanceFunction<? super V,?> distanceFunction)

Description copied from interface: KMeansInitialization

Choose initial means

Specified by:

chooseInitialMeans in interface KMeansInitialization<V>

Parameters:

relation - Relation

k - Parameter k

distanceFunction - Distance function

Returns:

List of chosen means for k-means

chooseInitialMedoids

public DBIDs chooseInitialMedoids(int k,
                         DistanceQuery<? super V,?> distanceFunction)

Description copied from interface: KMedoidsInitialization

Choose initial means

Specified by:

chooseInitialMedoids in interface KMedoidsInitialization<V>

Parameters:

k - Parameter k

distanceFunction - Distance function

Returns:

List of chosen means for k-means