gov.sandia.cognition.learning.algorithm.clustering.divergence
Interface ClusterDivergenceFunction<ClusterType extends Cluster<DataType>,DataType>

Type Parameters:

ClusterType - type of Cluster<DataType> used in the learn() method

DataType - The algorithm operates on a Collection<DataType>, so DataType will be something like Vector or String

All Superinterfaces:

Cloneable, CloneableSerializable, DivergenceFunction<ClusterType,DataType>, Serializable

All Known Implementing Classes:

CentroidClusterDivergenceFunction, GaussianClusterDivergenceFunction

@CodeReview(reviewer="Kevin R. Dixon",
            date="2008-07-23",
            changesNeeded=false,
            comments="Interface looks fine.")
public interface ClusterDivergenceFunction<ClusterType extends Cluster<DataType>,DataType>
extends DivergenceFunction<ClusterType,DataType>

The ClusterDivergenceFunction interface defines a function that computes the divergence between a cluster and some other object.

Since:

1.0

Author:

Justin Basilico, Kevin R. Dixon

Method Summary

Methods inherited from interface gov.sandia.cognition.math.DivergenceFunction

evaluate

Methods inherited from interface gov.sandia.cognition.util.CloneableSerializable

clone