Package elki.similarity.cluster

Class ClusteringAdjustedRandIndexSimilarity

java.lang.Object

elki.similarity.cluster.ClusteringAdjustedRandIndexSimilarity

All Implemented Interfaces:

elki.distance.Distance<Clustering<?>>, elki.distance.PrimitiveDistance<Clustering<?>>, ClusteringDistanceSimilarity, elki.similarity.NormalizedSimilarity<Clustering<?>>, elki.similarity.PrimitiveSimilarity<Clustering<?>>, elki.similarity.Similarity<Clustering<?>>

@Reference(authors="L. Hubert, P. Arabie",
           title="Comparing partitions",
           booktitle="Journal of Classification 2(193)",
           url="https://doi.org/10.1007/BF01908075",
           bibkey="doi:10.1007/BF01908075")
public class ClusteringAdjustedRandIndexSimilarity
extends java.lang.Object
implements ClusteringDistanceSimilarity, elki.similarity.NormalizedSimilarity<Clustering<?>>

Measure the similarity of clusters via the Adjusted Rand Index.

References:

L. Hubert, P. Arabie
Comparing partitions.
Journal of Classification 2(193)

W. M. Rand
Objective Criteria for the Evaluation of Clustering Methods
Journal of the American Statistical Association, Vol. 66 Issue 336

Since:

0.7.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	ClusteringAdjustedRandIndexSimilarity.Par	Parameterization class.

Field Summary

Fields

Modifier and Type	Field	Description
static ClusteringAdjustedRandIndexSimilarity	STATIC	Static instance.

Constructor Summary

Constructors

Constructor	Description
ClusteringAdjustedRandIndexSimilarity()	Constructor - use the static instance STATIC!

Method Summary

Modifier and Type	Method	Description
double	distance(Clustering<?> o1, Clustering<?> o2)
elki.data.type.SimpleTypeInformation<? super Clustering<?>>	getInputTypeRestriction()
<T extends Clustering<?>> elki.database.query.DistanceSimilarityQuery<T>	instantiate(elki.database.relation.Relation<T> relation)
boolean	isMetric()
double	similarity(Clustering<?> o1, Clustering<?> o2)

Methods inherited from class java.lang.Object

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

Methods inherited from interface elki.similarity.cluster.ClusteringDistanceSimilarity

isSymmetric

Methods inherited from interface elki.distance.Distance

isSquared

Field Detail

STATIC

public static final ClusteringAdjustedRandIndexSimilarity STATIC

Static instance.

Constructor Detail

ClusteringAdjustedRandIndexSimilarity

public ClusteringAdjustedRandIndexSimilarity()

Constructor - use the static instance STATIC!

Method Detail

similarity

public double similarity(Clustering<?> o1,
                         Clustering<?> o2)

Specified by:

similarity in interface elki.similarity.PrimitiveSimilarity<Clustering<?>>

distance

public double distance(Clustering<?> o1,
                       Clustering<?> o2)

Specified by:

distance in interface elki.distance.PrimitiveDistance<Clustering<?>>

isMetric

public boolean isMetric()

Specified by:

isMetric in interface elki.distance.Distance<Clustering<?>>

instantiate

public <T extends Clustering<?>> elki.database.query.DistanceSimilarityQuery<T> instantiate(elki.database.relation.Relation<T> relation)

Specified by:

instantiate in interface ClusteringDistanceSimilarity

Specified by:

instantiate in interface elki.distance.Distance<Clustering<?>>

Specified by:

instantiate in interface elki.distance.PrimitiveDistance<Clustering<?>>

Specified by:

instantiate in interface elki.similarity.PrimitiveSimilarity<Clustering<?>>

Specified by:

instantiate in interface elki.similarity.Similarity<Clustering<?>>

getInputTypeRestriction

public elki.data.type.SimpleTypeInformation<? super Clustering<?>> getInputTypeRestriction()

Specified by:

getInputTypeRestriction in interface elki.distance.Distance<Clustering<?>>

Specified by:

getInputTypeRestriction in interface elki.distance.PrimitiveDistance<Clustering<?>>

Specified by:

getInputTypeRestriction in interface elki.similarity.Similarity<Clustering<?>>