netkit.classifiers.active.graphfunctions
Class ClusterSizeRank

java.lang.Object
  netkit.classifiers.active.graphfunctions.ScoringFunction
      netkit.classifiers.active.graphfunctions.ReverseScoringFunction
          netkit.classifiers.active.graphfunctions.WeightedBetweenness
              netkit.classifiers.active.graphfunctions.ClusterSizeRank

All Implemented Interfaces:

java.util.Comparator<PickLabelStrategy.LabelNode>

public class ClusterSizeRank
extends WeightedBetweenness

Field Summary

Fields inherited from class netkit.classifiers.active.graphfunctions.ScoringFunction

gm, labeler, labels

Constructor Summary

ClusterSizeRank()

Method Summary

boolean	clusterBased() Is this scoring function cluster based (does it need clustering).
double	score(ModularityClusterer.Cluster c, Node n)
java.lang.String	toString()

Methods inherited from class netkit.classifiers.active.graphfunctions.ReverseScoringFunction

bestScore, compare, worstScore

Methods inherited from class netkit.classifiers.active.graphfunctions.ScoringFunction

compare, initialize, update, updateable

Methods inherited from class java.lang.Object

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

Methods inherited from interface java.util.Comparator

equals

Constructor Detail

ClusterSizeRank

public ClusterSizeRank()

Method Detail

clusterBased

public boolean clusterBased()

Description copied from class: ScoringFunction

Is this scoring function cluster based (does it need clustering).

Overrides:

clusterBased in class ScoringFunction

Returns:

false (default)

toString

public java.lang.String toString()

Overrides:

toString in class WeightedBetweenness

score

public double score(ModularityClusterer.Cluster c,
                    Node n)

Overrides:

score in class WeightedBetweenness