Double-suppressed possibilistic fuzzy Gustafson–Kessel clustering algorithm

Possibilistic fuzzy c-means clustering (PFCM) is an unsupervised hybrid clustering algorithm, which can partly inherit the stability of fuzzy c-means clustering (FCM) algorithm and the noise robustness of possibilistic c-means clustering (PCM) algorithm. However, there are still several limitations...

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Vydané v:	Knowledge-based systems Ročník 276; s. 110736
Hlavní autori:	Yu, Haiyan, Jiang, Lerong, Fan, Jiulun, Lan, Rong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 27.09.2023
Predmet:	Fuzzy clustering Gustafson Kessel Image segmentation Mahalanobis distance Possibilistic clustering Suppressed competitive learning Suppressed competitive learning Possibilistic clustering Image segmentation Fuzzy clustering Gustafson Kessel Mahalanobis distance
ISSN:	0950-7051, 1872-7409
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