Uses of Package
gov.sandia.cognition.learning.algorithm.clustering.initializer

Packages that use gov.sandia.cognition.learning.algorithm.clustering.initializer

Package	Description
gov.sandia.cognition.learning.algorithm.clustering	Provides clustering algorithms.
gov.sandia.cognition.learning.algorithm.clustering.initializer	Provides implementations of methods for selecting initial clusters.

Classes in gov.sandia.cognition.learning.algorithm.clustering.initializer used by gov.sandia.cognition.learning.algorithm.clustering

Class and Description
FixedClusterInitializer The FixedClusterInitializer interface defines the functionality of a class that can initialize a given number of clusters from a set of elements.

Classes in gov.sandia.cognition.learning.algorithm.clustering.initializer used by gov.sandia.cognition.learning.algorithm.clustering.initializer

Class and Description
AbstractMinDistanceFixedClusterInitializer Implements an abstract FixedClusterInitializer that works by using the minimum distance from a point to the cluster.
DistanceSamplingClusterInitializer 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.
FixedClusterInitializer The FixedClusterInitializer interface defines the functionality of a class that can initialize a given number of clusters from a set of elements.
GreedyClusterInitializer Implements a FixedClusterInitializer that greedily attempts to create the initial clusters.
RandomClusterInitializer Creates initial clusters by selecting random data points as singleton clusters.