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, Serializable, 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

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

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

clone

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.