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

Packages that use AbstractMinDistanceFixedClusterInitializer

Package	Description
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

Modifier and Type	Class and Description
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

Modifier and Type	Method and Description
AbstractMinDistanceFixedClusterInitializer<ClusterType,DataType>	AbstractMinDistanceFixedClusterInitializer.clone()