de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster

Interface ClusteringDistanceSimilarityFunction

All Superinterfaces:

DistanceFunction<Clustering<?>>, PrimitiveDistanceFunction<Clustering<?>>, PrimitiveSimilarityFunction<Clustering<?>>, SimilarityFunction<Clustering<?>>

All Known Implementing Classes:

ClusteringAdjustedRandIndexSimilarityFunction, ClusteringBCubedF1SimilarityFunction, ClusteringFowlkesMallowsSimilarityFunction, ClusteringRandIndexSimilarityFunction

public interface ClusteringDistanceSimilarityFunction
extends PrimitiveSimilarityFunction<Clustering<?>>, PrimitiveDistanceFunction<Clustering<?>>

Distance and similarity measure for clusterings.

Author:

Erich Schubert

Method Summary

Methods

Modifier and Type	Method and Description
<T extends Clustering<?>> DistanceSimilarityQuery<T>	instantiate(Relation<T> relation) Instantiate with a representation to get the actual similarity query.

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.similarityfunction.PrimitiveSimilarityFunction

getInputTypeRestriction, similarity

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.similarityfunction.SimilarityFunction

isSymmetric

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.distancefunction.PrimitiveDistanceFunction

distance, getInputTypeRestriction

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction

isMetric, isSymmetric

Method Detail

instantiate

<T extends Clustering<?>> DistanceSimilarityQuery<T> instantiate(Relation<T> relation)

Description copied from interface: SimilarityFunction

Instantiate with a representation to get the actual similarity query.

Specified by:

instantiate in interface DistanceFunction<Clustering<?>>

Specified by:

instantiate in interface SimilarityFunction<Clustering<?>>

Parameters:

relation - Representation to use

Returns:

Actual distance query.