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Communication Dans Un Congrès Année : 2016

Beyond Fuzzy, Possibilistic and Rough: An Investigation of Belief Functions in Clustering

Résumé

In evidential clustering, uncertainty about the assignment of objects to clusters is represented by Dempster-Shafer mass functions. The resulting clustering structure, called a credal partition, is shown to be more general than hard, fuzzy, possibility and rough partitions, which are recovered as special cases. Different algorithms to generate a credal partition are reviewed. We also describe different ways in which a credal partition, such as produced by the EVCLUS or ECM algorithms, can be summarized into any of the simpler clustering structures.
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Dates et versions

hal-01397981 , version 1 (16-11-2016)

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Thierry Denoeux, Orakanya Kanjanatarakul. Beyond Fuzzy, Possibilistic and Rough: An Investigation of Belief Functions in Clustering. 8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016), Sep 2016, Rome, Italy. pp.157-164, ⟨10.1007/978-3-319-42972-4_20⟩. ⟨hal-01397981⟩
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