Uses of Class
weka.clusterers.RandomizableClusterer

Packages that use RandomizableClusterer

Package	Description
weka.clusterers

Uses of RandomizableClusterer in weka.clusterers

Subclasses of RandomizableClusterer in weka.clusterers

Modifier and Type	Class	Description
class	Canopy	Cluster data using the capopy clustering algorithm, which requires just one pass over the data.
class	Cobweb	Class implementing the Cobweb and Classit clustering algorithms. Note: the application of node operators (merging, splitting etc.) in terms of ordering and priority differs (and is somewhat ambiguous) between the original Cobweb and Classit papers.
class	FarthestFirst	Cluster data using the FarthestFirst algorithm. For more information see: Hochbaum, Shmoys (1985).
class	SimpleKMeans	Cluster data using the k means algorithm.