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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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 47; H. 5; S. 3440 - 3451
Hauptverfasser:	Nie, Feiping, Zhang, Runxin, Yu, Weizhong, Li, Xuelong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.05.2025
Schlagworte:	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
Online-Zugang:	Volltext
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