Uses of Class
gov.sandia.cognition.learning.algorithm.clustering.initializer.AbstractMinDistanceFixedClusterInitializer

Packages that use AbstractMinDistanceFixedClusterInitializer
gov.sandia.cognition.learning.algorithm.clustering.initializer Provides implementations of methods for selecting initial clusters. 
 

Uses of AbstractMinDistanceFixedClusterInitializer in gov.sandia.cognition.learning.algorithm.clustering.initializer
 

Subclasses of AbstractMinDistanceFixedClusterInitializer in gov.sandia.cognition.learning.algorithm.clustering.initializer
 class DistanceSamplingClusterInitializer<ClusterType extends Cluster<DataType>,DataType>
          Implements FixedClusterInitializer that initializes clusters by first selecting a random point for the first cluster and then randomly sampling each successive cluster based on the squared minimum distance from the point to the existing selected clusters.
 class GreedyClusterInitializer<ClusterType extends Cluster<DataType>,DataType>
          Implements a FixedClusterInitializer that greedily attempts to create the initial clusters.
 

Methods in gov.sandia.cognition.learning.algorithm.clustering.initializer that return AbstractMinDistanceFixedClusterInitializer
 AbstractMinDistanceFixedClusterInitializer<ClusterType,DataType> AbstractMinDistanceFixedClusterInitializer.clone()