org.tribuo.clustering.evaluation

Interface ClusteringEvaluation

All Superinterfaces:

Evaluation<ClusterID>, com.oracle.labs.mlrg.olcut.provenance.Provenancable<EvaluationProvenance>

public interface ClusteringEvaluation
extends Evaluation<ClusterID>

An Evaluation for clustering tasks.

Method Summary

Modifier and Type	Method and Description
double	adjustedMI() Measures the adjusted normalized mutual information between the predicted ids and the supplied ids.
double	normalizedMI() Calculates the normalized MI between the ground truth clustering ids and the predicted ones.

Methods inherited from interface org.tribuo.evaluation.Evaluation

asMap, get, getPredictions

Methods inherited from interface com.oracle.labs.mlrg.olcut.provenance.Provenancable

getProvenance

Method Detail

normalizedMI

double normalizedMI()

Calculates the normalized MI between the ground truth clustering ids and the predicted ones.

The value is bounded between 0 and 1.

If this value is 1, then the predicted id values are a permutation of the supplied ids. If the value is 0 then the predicted ids are random wrt the supplied ids.

Returns:

The normalized MI.

adjustedMI

double adjustedMI()

Measures the adjusted normalized mutual information between the predicted ids and the supplied ids.

The value is bounded between 0 and 1.

If this value is 1, then the predicted id values are a permutation of the supplied ids. If the value is 0 then the predicted ids are random wrt the supplied ids.

It's adjusted for chance unlike the normalized one.

Returns:

The adjusted MI.