A self-learning iterative weighted possibilistic fuzzy c-means clustering via adaptive fusion

Considering that weighted possibilistic fuzzy clustering does not obtain significant performance compared with possibilistic fuzzy clustering, so this paper proposes an enhanced self-adaptive weighted possibilistic fuzzy clustering algorithm. Firstly, the principle of maximum entropy is introduced t...

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Vydané v:	Expert systems with applications Ročník 209; s. 118280
Hlavní autori:	Wu, Chengmao, Zhang, Xialu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.12.2022
Predmet:	Maximum entropy principle Possibilistic fuzzy clustering Robust loss function Validity function Validity function Maximum entropy principle Possibilistic fuzzy clustering Robust loss function
ISSN:	0957-4174, 1873-6793
On-line prístup:	Získať plný text
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