Unconstrained Fuzzy C-Means Algorithm

Fuzzy C-Means algorithm (FCM) is one of the most commonly used fuzzy clustering algorithm, which uses the alternating optimization algorithm to update the membership matrix and the cluster center matrix. FCM achieves effective results in clustering tasks. However, due to many constraints, the object...

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Vydané v:	IEEE transactions on pattern analysis and machine intelligence Ročník 47; číslo 5; s. 3440 - 3451
Hlavní autori:	Nie, Feiping, Zhang, Runxin, Yu, Weizhong, Li, Xuelong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.05.2025
Predmet:	Clustering algorithms Convergence Fuzzy C-Means gradient descent Linear programming local minimum membership matrix Noise Optimization Sensitivity Symbols Time complexity Vectors
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
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