FCAN-MOPSO: An Improved Fuzzy-Based Graph Clustering Algorithm for Complex Networks With Multiobjective Particle Swarm Optimization

Performing an accurate clustering analysis is of great significance for us to understand the behavior of complex networks, and a variety of graph clustering algorithms have, thus, been proposed to do so by taking into account network topology and node attributes. Among them, fuzzy clustering algorit...

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Veröffentlicht in:	IEEE transactions on fuzzy systems Jg. 31; H. 10; S. 3470 - 3484
Hauptverfasser:	Hu, Lun, Yang, Yue, Tang, Zehai, He, Yizhou, Luo, Xin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.10.2023
Schlagworte:	Algorithms Cluster analysis Clustering Convergence Multiple objective analysis Network topologies Nodes Optimization Optimization models Particle swarm optimization Performance evaluation Regularization
ISSN:	1063-6706, 1941-0034
Online-Zugang:	Volltext
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