@Reference(authors="Fowlkes, E.B. and Mallows, C.L.", title="A method for comparing two hierarchical clusterings", booktitle="Journal of the American Statistical Association, Vol. 78 Issue 383") public class ClusteringFowlkesMallowsSimilarityFunction extends AbstractPrimitiveSimilarityFunction<Clustering<?>> implements ClusteringDistanceSimilarityFunction, NormalizedSimilarityFunction<Clustering<?>>
Fowlkes, E.B. and Mallows, C.L.
A method for comparing two hierarchical clusterings
In: Journal of the American Statistical Association, Vol. 78 Issue 383
| Modifier and Type | Class and Description |
|---|---|
static class |
ClusteringFowlkesMallowsSimilarityFunction.Parameterizer
Parameterization class.
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| Modifier and Type | Field and Description |
|---|---|
static ClusteringFowlkesMallowsSimilarityFunction |
STATIC
Static instance.
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| Constructor and Description |
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ClusteringFowlkesMallowsSimilarityFunction()
Constructor - use the static instance
STATIC! |
| Modifier and Type | Method and Description |
|---|---|
double |
distance(Clustering<?> o1,
Clustering<?> o2)
Computes the distance between two given DatabaseObjects according to this
distance function.
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SimpleTypeInformation<? super Clustering<?>> |
getInputTypeRestriction()
Get the input data type of the function.
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<T extends Clustering<?>> |
instantiate(Relation<T> relation)
Instantiate with a representation to get the actual similarity query.
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boolean |
isMetric()
Is this distance function metric (in particular, does it satisfy the
triangle equation?)
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double |
similarity(Clustering<?> o1,
Clustering<?> o2)
Computes the similarity between two given DatabaseObjects according to this
similarity function.
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isSymmetricclone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitisSymmetricisSymmetricpublic static final ClusteringFowlkesMallowsSimilarityFunction STATIC
public ClusteringFowlkesMallowsSimilarityFunction()
STATIC!public double similarity(Clustering<?> o1, Clustering<?> o2)
PrimitiveSimilarityFunctionsimilarity in interface PrimitiveSimilarityFunction<Clustering<?>>similarity in class AbstractPrimitiveSimilarityFunction<Clustering<?>>o1 - first DatabaseObjecto2 - second DatabaseObjectpublic double distance(Clustering<?> o1, Clustering<?> o2)
PrimitiveDistanceFunctiondistance in interface PrimitiveDistanceFunction<Clustering<?>>o1 - first DatabaseObjecto2 - second DatabaseObjectpublic boolean isMetric()
DistanceFunctionisMetric in interface DistanceFunction<Clustering<?>>true when metric.public <T extends Clustering<?>> DistanceSimilarityQuery<T> instantiate(Relation<T> relation)
SimilarityFunctioninstantiate in interface DistanceFunction<Clustering<?>>instantiate in interface ClusteringDistanceSimilarityFunctioninstantiate in interface SimilarityFunction<Clustering<?>>instantiate in class AbstractPrimitiveSimilarityFunction<Clustering<?>>relation - Representation to usepublic SimpleTypeInformation<? super Clustering<?>> getInputTypeRestriction()
SimilarityFunctiongetInputTypeRestriction in interface DistanceFunction<Clustering<?>>getInputTypeRestriction in interface PrimitiveDistanceFunction<Clustering<?>>getInputTypeRestriction in interface PrimitiveSimilarityFunction<Clustering<?>>getInputTypeRestriction in interface SimilarityFunction<Clustering<?>>getInputTypeRestriction in class AbstractPrimitiveSimilarityFunction<Clustering<?>>Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.