Uses of Class
gov.sandia.cognition.learning.algorithm.clustering.divergence.AbstractClusterToClusterDivergenceFunction

Packages that use AbstractClusterToClusterDivergenceFunction

Package	Description
gov.sandia.cognition.learning.algorithm.clustering.divergence	Provides divergence functions for use in clustering.

Uses of AbstractClusterToClusterDivergenceFunction in gov.sandia.cognition.learning.algorithm.clustering.divergence

Subclasses of AbstractClusterToClusterDivergenceFunction in gov.sandia.cognition.learning.algorithm.clustering.divergence

Modifier and Type	Class and Description
class	ClusterCentroidDivergenceFunction<DataType> The ClusterCentroidDivergenceFunction class implements the distance between two clusters by computing the distance between the cluster's centroid.
class	ClusterCompleteLinkDivergenceFunction<ClusterType extends Cluster<DataType>,DataType> The ClusterCompleteLinkDivergenceFunction class implements the complete linkage distance metric between two clusters.
class	ClusterMeanLinkDivergenceFunction<ClusterType extends Cluster<DataType>,DataType> The ClusterMeanLinkDivergenceFunction class implements the mean linkage distance metric between two clusters.
class	ClusterSingleLinkDivergenceFunction<ClusterType extends Cluster<DataType>,DataType> The ClusterSingleLinkDivergenceFunction class implements the complete linkage distance metric between two clusters.