gov.sandia.cognition.learning.algorithm.clustering.divergence

Class AbstractClusterToClusterDivergenceFunction<ClusterType extends Cluster<DataType>,DataType>

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.learning.function.distance.DefaultDivergenceFunctionContainer<DataType,DataType>

gov.sandia.cognition.learning.algorithm.clustering.divergence.AbstractClusterToClusterDivergenceFunction<ClusterType,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 Implemented Interfaces:

ClusterToClusterDivergenceFunction<ClusterType,DataType>, DivergenceFunctionContainer<DataType,DataType>, DivergenceFunction<ClusterType,ClusterType>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Direct Known Subclasses:

ClusterCentroidDivergenceFunction, ClusterCompleteLinkDivergenceFunction, ClusterMeanLinkDivergenceFunction, ClusterSingleLinkDivergenceFunction

@CodeReview(reviewer="Kevin R. Dixon",
            date="2008-07-23",
            changesNeeded=false,
            comments="Looks fine.")
public abstract class AbstractClusterToClusterDivergenceFunction<ClusterType extends Cluster<DataType>,DataType>
extends DefaultDivergenceFunctionContainer<DataType,DataType>
implements ClusterToClusterDivergenceFunction<ClusterType,DataType>

The AbstractClusterToClusterDivergenceFunction class is an abstract class that helps out implementations of ClusterToClusterDivergenceFunction implementations by holding a DivergenceFunction between elements of a cluster.

Since:

1.0

Author:

Justin Basilico

See Also:

Serialized Form

Field Summary

Fields inherited from class gov.sandia.cognition.learning.function.distance.DefaultDivergenceFunctionContainer

divergenceFunction

Constructor Summary

Constructors

Constructor and Description
AbstractClusterToClusterDivergenceFunction(DivergenceFunction<? super DataType,? super DataType> divergenceFunction) Creates a new instance of AbstractClusterToClusterDivergenceFunction

Method Summary

Methods inherited from class gov.sandia.cognition.learning.function.distance.DefaultDivergenceFunctionContainer

clone, getDivergenceFunction, setDivergenceFunction

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

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

evaluate

Constructor Detail

AbstractClusterToClusterDivergenceFunction

public AbstractClusterToClusterDivergenceFunction(DivergenceFunction<? super DataType,? super DataType> divergenceFunction)

Creates a new instance of AbstractClusterToClusterDivergenceFunction

Parameters:

divergenceFunction - The divergence function to use between elements.