A Fast Fuzzy Clustering Algorithm for Complex Networks via a Generalized Momentum Method

Complex networks have been widely adopted to represent a variety of complicated systems. Given a complex network, it is of great significance to perform accurate clustering for better understanding its intrinsic organization. To this end, a fuzzy-based clustering algorithm, i.e., FCAN, has been deve...

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Veröffentlicht in:	IEEE transactions on fuzzy systems Jg. 30; H. 9; S. 3473 - 3485
Hauptverfasser:	Hu, Lun, Pan, Xiangyu, Tang, Zehai, Luo, Xin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.09.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Analytical models Cluster analysis Clustering Clustering algorithms Complex network Complex networks computational intelligence Convergence Data science Empirical analysis fuzzy clustering generalized momentum Industrial applications Linear programming Momentum Networks Optimization Topology
ISSN:	1063-6706, 1941-0034
Online-Zugang:	Volltext
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