Uses of Interface
gov.sandia.cognition.learning.algorithm.clustering.divergence.WithinClusterDivergence

Packages that use WithinClusterDivergence

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.

Uses of WithinClusterDivergence in gov.sandia.cognition.learning.algorithm.clustering

Fields in gov.sandia.cognition.learning.algorithm.clustering declared as WithinClusterDivergence

Modifier and Type	Field and Description
protected WithinClusterDivergence<? super ClusterType,? super DataType>	PartitionalClusterer.clusterDivergenceFunction The divergence function used to find the distance between two clusters.

Methods in gov.sandia.cognition.learning.algorithm.clustering that return WithinClusterDivergence

Modifier and Type	Method and Description
WithinClusterDivergence<? super ClusterType,? super DataType>	PartitionalClusterer.getWithinClusterDivergenceFunction() Gets the metric on clusters used for partitioning.

Methods in gov.sandia.cognition.learning.algorithm.clustering with parameters of type WithinClusterDivergence

Modifier and Type	Method and Description
void	PartitionalClusterer.setWithinClusterDivergenceFunction(WithinClusterDivergence<? super ClusterType,? super DataType> clusterDivergenceFunction) Sets the metric on clusters used for partitioning.

Constructors in gov.sandia.cognition.learning.algorithm.clustering with parameters of type WithinClusterDivergence

Constructor and Description
PartitionalClusterer(int numRequestedClusters, WithinClusterDivergence<ClusterType,DataType> divergenceFunction, IncrementalClusterCreator<ClusterType,DataType> creator) Creates a new partitional clusterer.

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

Classes in gov.sandia.cognition.learning.algorithm.clustering.divergence that implement WithinClusterDivergence

Modifier and Type	Class and Description
class	WithinClusterDivergenceWrapper<ClusterType extends Cluster<DataType>,DataType> Accumulates the results of a ClusterDivergenceFunction by summing the divergence of each point to its cluster.
class	WithinNormalizedCentroidClusterCosineDivergence<V extends Vectorizable> This class calculates the total cosine divergence between all members of a cluster and the cluster's centroid