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

Packages that use AbstractClusterToClusterDivergenceFunction
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
 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.