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

Interface KMeansInitialization<V>

Type Parameters:

V - Object type

All Known Implementing Classes:

AbstractKMeansInitialization, FarthestPointsInitialMeans, FirstKInitialMeans, KMeansPlusPlusInitialMeans, PAMInitialMeans, RandomlyChosenInitialMeans, RandomlyGeneratedInitialMeans, SampleKMeansInitialization

public interface KMeansInitialization<V>

Interface for initializing K-Means

Method Summary

Methods

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

Method Detail

chooseInitialMeans

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

Choose initial means

Parameters:

database - Database context

relation - Relation

k - Parameter k

distanceFunction - Distance function

Returns:

List of chosen means for k-means