On Multi-Criteria Clustering - Archive ouverte HAL
Communication Dans Un Congrès Année : 2012

On Multi-Criteria Clustering

Résumé

A closely related type of problem in MCDA to that of sorting is clustering. As in Data Mining, in MCDA too, no unanimous definition of clustering is given. We address this by formally defining several types of clustering in a MCDA context. We base our definitions on any outranking relation from which different preferential situations can be extracted between the alternatives. We define the ideal result with respect to these definitions and develop a method to find them. We present the implementation of this approach in the diviz software and illustrate it using a well-known problem in MCDA.
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Dates et versions

hal-00800303 , version 1 (13-03-2013)

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  • HAL Id : hal-00800303 , version 1

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Alexandru Liviu Olteanu, Patrick Meyer, Raymond Bisdorff. On Multi-Criteria Clustering. EURO 2012: 25th Europen conference on operational research, Jul 2012, Vilnius, Lithuania. ⟨hal-00800303⟩
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