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Communication Dans Un Congrès Année : 2008

A family of cluster validity indexes based on a l-order fuzzy OR operator

Résumé

Clustering is one of the most important task in pattern recognition. For most of partitional clustering algorithms, a partition that represents as much as possible the structure of the data is generated. In this paper, we adress the problem of finding the optimal number of clusters from data. This can be done by introducing an index which evaluates the validity of the generated fuzzy c-partition. We propose to use a criterion based on the fuzzy combination of membership values which quantifies the $l$-order overlap and the intercluster separation of a given pattern.
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Dates et versions

hal-00441427 , version 1 (16-12-2009)

Identifiants

  • HAL Id : hal-00441427 , version 1

Citer

Hoel Le Capitaine, Carl Frelicot. A family of cluster validity indexes based on a l-order fuzzy OR operator. Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2008), 2008, Orlando, United States. pp.612-621. ⟨hal-00441427⟩

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