Uses of Package
gov.sandia.cognition.learning.algorithm.clustering.divergence

Packages that use gov.sandia.cognition.learning.algorithm.clustering.divergence

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

Classes in gov.sandia.cognition.learning.algorithm.clustering.divergence used by gov.sandia.cognition.learning.algorithm.clustering

Class and Description
ClusterDivergenceFunction The ClusterDivergenceFunction interface defines a function that computes the divergence between a cluster and some other object.
ClusterToClusterDivergenceFunction The ClusterToClusterDivergenceFunction defines a DivergenceFunction between two clusters of the same data type.
WithinClusterDivergence Defines a function that computes the divergence of the elements in a cluster.

Classes in gov.sandia.cognition.learning.algorithm.clustering.divergence used by gov.sandia.cognition.learning.algorithm.clustering.divergence

Class and Description
AbstractClusterToClusterDivergenceFunction The AbstractClusterToClusterDivergenceFunction class is an abstract class that helps out implementations of ClusterToClusterDivergenceFunction implementations by holding a DivergenceFunction between elements of a cluster.
CentroidClusterDivergenceFunction The CentroidClusterDivergenceFunction class implements a divergence function between a cluster and an object by computing the divergence between the center of the cluster and the object.
ClusterDivergenceFunction The ClusterDivergenceFunction interface defines a function that computes the divergence between a cluster and some other object.
ClusterToClusterDivergenceFunction The ClusterToClusterDivergenceFunction defines a DivergenceFunction between two clusters of the same data type.
GaussianClusterDivergenceFunction The GaussianClusterDivergenceFunction class implements a divergence function between a Gaussian cluster and a vector, which is calculated by finding the likelihood that the vector was generated from that Gaussian and then returning the negative of the likelihood since it is a divergence measure, not a similarity measure.
WithinClusterDivergence Defines a function that computes the divergence of the elements in a cluster.

Classes in gov.sandia.cognition.learning.algorithm.clustering.divergence used by gov.sandia.cognition.learning.function.cost

Class and Description
ClusterDivergenceFunction The ClusterDivergenceFunction interface defines a function that computes the divergence between a cluster and some other object.