Uses of Class
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeansInitialization

Packages that use AbstractKMeansInitialization

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans	K-means clustering and variations.

Uses of AbstractKMeansInitialization in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans

Subclasses of AbstractKMeansInitialization in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans

Modifier and Type	Class and Description
class	KMeansPlusPlusInitialMeans<V,D extends NumberDistance<D,?>> K-Means++ initialization for k-means.
class	RandomlyChosenInitialMeans<V> Initialize K-means by randomly choosing k exsiting elements as cluster centers.
class	RandomlyGeneratedInitialMeans<V extends NumberVector<V,?>> Initialize k-means by generating random vectors (within the data sets value range).