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NTIS 바로가기Applied soft computing, v.53, 2017년, pp.262 - 283
Askari, S. , Montazerin, N. , Fazel Zarandi, M.H.
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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