Granular prototyping in fuzzy clustering.

We introduce a logic-driven clustering in which prototypes are formed and evaluated in a sequential manner. The way of revealing a structure in data is realized by maximizing a certain performance index (objective function) that takes into consideration an overall level of matching (to be maximized)...

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Detalhes bibliográficos
Publicado no:IEEE Transactions on fuzzy systems 12, 5 (2004).
Autor principal: Bargiela, A.
Formato: Artigo
Idioma:English
Assuntos: