de.aitools.dm.clustering.algorithms
Class AGraphClusterer

java.lang.Object
  de.aitools.dm.clustering.algorithms.ASoftClusterer
      de.aitools.dm.clustering.algorithms.AClusterer
          de.aitools.dm.clustering.algorithms.AGraphClusterer

All Implemented Interfaces:

Clusterer, SoftClusterer

Direct Known Subclasses:

MajorClust

public abstract class AGraphClusterer
extends AClusterer

Version:

$Id: AGraphClusterer.java,v 1.12 2011/09/19 14:49:44 cuze8081 Exp $

Author:

tim.gollub@uni-weimar.de and johannes.kiesel(/\t)uni-weimar.de

Field Summary

Fields inherited from interface de.aitools.dm.clustering.Clusterer

DEFAULT_SEED

Constructor Summary

AGraphClusterer()

AGraphClusterer(Proximity<Vector> proximityMeasure, Sparsification sparsificationMethod)

Method Summary

abstract int[]	cluster(Graph simGraph)
int[]	cluster(Vector[] data)
static Graph	createGraph(Vector[] data, Proximity<Vector> proximity, double threshold)
void	setProximity(Proximity<Vector> proximityMeasure)
void	setSparsification(Sparsification sparsificationMethod)

Methods inherited from class de.aitools.dm.clustering.algorithms.AClusterer

cluster, cluster, cluster, clusterSoft

Methods inherited from class de.aitools.dm.clustering.algorithms.ASoftClusterer

clusterSoft, clusterSoft, clusterSoft, getBiggestRange

Methods inherited from class java.lang.Object

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

Constructor Detail

AGraphClusterer

public AGraphClusterer()

AGraphClusterer

public AGraphClusterer(Proximity<Vector> proximityMeasure,
                       Sparsification sparsificationMethod)

Method Detail

setProximity

public void setProximity(Proximity<Vector> proximityMeasure)

setSparsification

public void setSparsification(Sparsification sparsificationMethod)

cluster

public final int[] cluster(Vector[] data)

Specified by:

cluster in interface Clusterer

Specified by:

cluster in class AClusterer

createGraph

public static Graph createGraph(Vector[] data,
                                Proximity<Vector> proximity,
                                double threshold)

Parameters:

data -

proximity -

threshold - Arbitrary threshold that depends on the data.

Returns:

cluster

public abstract int[] cluster(Graph simGraph)