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[해외논문] Generalized Possibilistic Fuzzy C-Means with novel cluster validity indices for clustering noisy data

Applied soft computing, v.53, 2017년, pp.262 - 283  

Askari, S. ,  Montazerin, N. ,  Fazel Zarandi, M.H.

Abstract AI-Helper 아이콘AI-Helper

A generalized form of Possibilistic Fuzzy C-Means (PFCM) algorithm (GPFCM) is presented for clustering noisy data. A function of distance is used instead of the distance itself to damp noise contributions. It is shown that when the data are highly noisy, GPFCM finds accurate cluster centers but FCM ...

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