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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Vydané v:	IEEE transactions on fuzzy systems Ročník 31; číslo 10; s. 3470 - 3484
Hlavní autori:	Hu, Lun, Yang, Yue, Tang, Zehai, He, Yizhou, Luo, Xin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.10.2023
Predmet:	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
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