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

Packages that use AbstractKMeans

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans	K-means clustering and variations.
tutorial.clustering	Classes from the tutorial on implementing a custom k-means variation.

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

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

Modifier and Type	Class and Description
class	KMeansLloyd<V extends NumberVector<?>,D extends Distance<D>> Provides the k-means algorithm, using Lloyd-style bulk iterations.
class	KMeansMacQueen<V extends NumberVector<?>,D extends Distance<D>> Provides the k-means algorithm, using MacQueen style incremental updates.
class	KMediansLloyd<V extends NumberVector<?>,D extends Distance<D>> Provides the k-medians clustering algorithm, using Lloyd-style bulk iterations.

Uses of AbstractKMeans in tutorial.clustering

Subclasses of AbstractKMeans in tutorial.clustering

Modifier and Type	Class and Description
class	SameSizeKMeansAlgorithm<V extends NumberVector<?>> K-means variation that produces equally sized clusters.