Package elki.similarity.cluster

Class ClusteringBCubedF1Similarity

java.lang.Object

elki.similarity.cluster.ClusteringBCubedF1Similarity

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="A. Bagga, B. Baldwin",
           title="Entity-based cross-document coreferencing using the Vector Space Model",
           booktitle="Proc. 17th Int. Conf. on Computational Linguistics (COLING \'98)",
           url="https://doi.org/10.3115/980451.980859",
           bibkey="doi:10.3115/980451.980859")
public class ClusteringBCubedF1Similarity
extends java.lang.Object
implements ClusteringDistanceSimilarity, elki.similarity.NormalizedSimilarity<Clustering<?>>

Measure the similarity of clusters via the BCubed F1 Index.

Reference:

A. Bagga, B. Baldwin
Entity-based cross-document coreferencing using the Vector Space Model
Proc. 17th Int. Conf. on Computational Linguistics (COLING '98)

Since:

0.7.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	ClusteringBCubedF1Similarity.Par	Parameterization class.

Field Summary

Fields

Modifier and Type	Field	Description
static ClusteringBCubedF1Similarity	STATIC	Static instance.

Constructor Summary

Constructors

Constructor	Description
ClusteringBCubedF1Similarity()	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 ClusteringBCubedF1Similarity STATIC

Static instance.

Constructor Detail

ClusteringBCubedF1Similarity

public ClusteringBCubedF1Similarity()

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<?>>