Package javax.datamining.algorithm.kmeans

This package contains definitions for describing the algorithm settings specific to building a k-means clustering model.

See:
Description

Interface Summary

KMeansSettings	A KMeansSettings object captures the parameters associated with the k-means clustering algorithm.
KMeansSettingsFactory	A factory class that creates instances of KMeansSettings.

Class Summary

ClusteringDistanceFunction	The enumeration ClusteringDistanceFunction represents the distance functions used to compute the distance between two points when building a clustering model.
KMeansCapability	The enumeration KMeansCapability enumerates a list of the capabilities of the k-means clustering algorithm being supported in a particular implementation.

Package javax.datamining.algorithm.kmeans Description

This package contains definitions for describing the algorithm settings specific to building a k-means clustering model.