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34

WILF
2009
Springer

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An Experimental Validation of Some Indexes of Fuzzy Clustering Similarity

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An Experimental Validation of Some Indexes of Fuzzy Clustering Similarity

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Measuring the similarity between clusterings is a classic problem with several proposed solutions. In this work we focus on measures based on coassociation of data pairs and perform some experiments to investigate whether speciﬁcities can be highlighted in their behaviour. A uniﬁed formalism is used, which allows easy generalization of several indexes to a fuzzy setting. A selection of indexes is presented, and experiments investigate simpliﬁed cases and a paradigmatic real-world case, as an illustration of application.

Stefano Rovetta, Francesco Masulli

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Artificial Intelligence | Classic Problem | Data Pairs | Paradigmatic Real-world Case | WILF 2009 |

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Added	25 May 2010
Updated	25 May 2010
Type	Conference
Year	2009
Where	WILF
Authors	Stefano Rovetta, Francesco Masulli

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