cc.mallet.cluster.neighbor_evaluator
Class MedoidEvaluator

java.lang.Object
  cc.mallet.cluster.neighbor_evaluator.ClassifyingNeighborEvaluator
      cc.mallet.cluster.neighbor_evaluator.MedoidEvaluator

All Implemented Interfaces:

NeighborEvaluator, java.io.Serializable

public class MedoidEvaluator
extends ClassifyingNeighborEvaluator

Uses a Classifier over pairs of Instances to score Neighbor. Currently only supports AgglomerativeNeighbors.

Since:

1.0

Version:

1.0

Author:

"Michael Wick"

See Also:

ClassifyingNeighborEvaluator, Serialized Form

Nested Class Summary

static class	MedoidEvaluator.Average
static interface	MedoidEvaluator.CombiningStrategy Specifies how to combine a set of pairwise scores into a cluster-wise score.
static class	MedoidEvaluator.Maximum
static class	MedoidEvaluator.Minimum

Constructor Summary

MedoidEvaluator(Classifier classifier, java.lang.String scoringLabel)

MedoidEvaluator(Classifier classifier, java.lang.String scoringLabel, boolean singleLink, boolean mergeFirst)

Method Summary

double	evaluate(Neighbor neighbor)
double[]	evaluate(Neighbor[] neighbors)
void	reset() Reset the state of the evaluator.
java.lang.String	toString()

Methods inherited from class cc.mallet.cluster.neighbor_evaluator.ClassifyingNeighborEvaluator

getClassifier

Methods inherited from class java.lang.Object

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

Constructor Detail

MedoidEvaluator

public MedoidEvaluator(Classifier classifier,
                       java.lang.String scoringLabel)

Parameters:

classifier - Classifier to assign scores to Neighbors for which a pair of Instances has been merged.

scoringLabel - The predicted label that corresponds to a positive example (e.g. "YES").

combiningStrategy - How to combine the pairwise scores (e.g. max, mean, ...).

mergeFirst - If true, score all edges involved in a merge. If false, only score the edges that cross the boundaries of the clusters being merged.

MedoidEvaluator

public MedoidEvaluator(Classifier classifier,
                       java.lang.String scoringLabel,
                       boolean singleLink,
                       boolean mergeFirst)

Method Detail

evaluate

public double[] evaluate(Neighbor[] neighbors)

Specified by:

evaluate in interface NeighborEvaluator

Overrides:

evaluate in class ClassifyingNeighborEvaluator

Returns:

One score per neighbor. A higher score indicates that the modified Clustering is preferred.

evaluate

public double evaluate(Neighbor neighbor)

Specified by:

evaluate in interface NeighborEvaluator

Overrides:

evaluate in class ClassifyingNeighborEvaluator

Returns:

A higher score indicates that the modified Clustering is preferred.

reset

public void reset()

Description copied from interface: NeighborEvaluator

Reset the state of the evaluator.

Specified by:

reset in interface NeighborEvaluator

Overrides:

reset in class ClassifyingNeighborEvaluator

toString

public java.lang.String toString()

Overrides:

toString in class ClassifyingNeighborEvaluator