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

Packages that use ClusterDivergenceFunction

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.

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

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

Modifier and Type	Field and Description
protected ClusterDivergenceFunction<? super ClusterType,? super DataType>	KMeansClusterer.divergenceFunction The divergence function between cluster being used.

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

Modifier and Type	Method and Description
ClusterDivergenceFunction<? super ClusterType,? super DataType>	KMeansClusterer.getDivergenceFunction() Gets the divergence function used in clustering.

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

Modifier and Type	Method and Description
void	KMeansClusterer.setDivergenceFunction(ClusterDivergenceFunction<? super ClusterType,? super DataType> divergenceFunction) Sets the divergence function.

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

Constructor and Description
KMeansClusterer(int numRequestedClusters, int maxIterations, FixedClusterInitializer<ClusterType,DataType> initializer, ClusterDivergenceFunction<? super ClusterType,? super DataType> divergenceFunction, ClusterCreator<ClusterType,DataType> creator) Creates a new instance of KMeansClusterer using the given parameters.
KMeansClustererWithRemoval(int numRequestedClusters, int maxIterations, FixedClusterInitializer<ClusterType,DataType> initializer, ClusterDivergenceFunction<ClusterType,DataType> divergenceFunction, ClusterCreator<ClusterType,DataType> creator, double removalThreshold) Creates a new instance of KMeansClusterer using the given parameters.
ParallelizedKMeansClusterer(int numRequestedClusters, int maxIterations, java.util.concurrent.ThreadPoolExecutor threadPool, FixedClusterInitializer<ClusterType,DataType> initializer, ClusterDivergenceFunction<? super ClusterType,? super DataType> divergenceFunction, ClusterCreator<ClusterType,DataType> creator) Creates a new instance of ParallelizedKMeansClusterer2
PartitionalClusterer(int numRequestedClusters, ClusterDivergenceFunction<ClusterType,DataType> divergenceFunction, IncrementalClusterCreator<ClusterType,DataType> creator) Creates a new partitional clusterer.

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

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

Modifier and Type	Class and Description
class	CentroidClusterDivergenceFunction<DataType> 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.
class	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.

Uses of ClusterDivergenceFunction in gov.sandia.cognition.learning.function.cost

Methods in gov.sandia.cognition.learning.function.cost that return ClusterDivergenceFunction

Modifier and Type	Method and Description
ClusterDivergenceFunction<? super ClusterType,? super DataType>	ClusterDistortionMeasure.getCostParameters()

Methods in gov.sandia.cognition.learning.function.cost with parameters of type ClusterDivergenceFunction

Modifier and Type	Method and Description
void	ClusterDistortionMeasure.setCostParameters(ClusterDivergenceFunction<? super ClusterType,? super DataType> costParameters)

Constructors in gov.sandia.cognition.learning.function.cost with parameters of type ClusterDivergenceFunction

Constructor and Description
ClusterDistortionMeasure(ClusterDivergenceFunction<ClusterType,DataType> costParameters) Creates a new instance of ClusterDistortionMeasure
ParallelClusterDistortionMeasure(ClusterDivergenceFunction<ClusterType,DataType> costParameters) Creates a new instance of ClusterDistortionMeasure