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Probabilistic and more general uncertainty-based (e.g., fuzzy) approaches to crisp clustering explain the empirical success of the K-sets algorithm. (English) Zbl 1484.68249

Shahbazova, Shahnaz N. (ed.) et al., Recent developments in fuzzy logic and fuzzy sets. Dedicated to Lotfi A. Zadeh. Cham: Springer. Stud. Fuzziness Soft Comput. 391, 61-80 (2020).
MSC:  68T37 62H30
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