Integrating Fuzzy K-Means, Particle Swarm Optimization, and Imperialist Competitive Algorithm for Data Clustering

In this paper, we proposed two hybrid data clustering algorithms that are called ICAFKM and PSOFKM. ICAFKM combined the advantageous aspects of Fuzzy K-Means (FKM) and Imperialist Competitive Algorithm (ICA), and PSOFKM makes full use of the merits of both Particle Swarm Optimization (PSO) and FKM a...

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Vydáno v:	Arabian Journal for Science and Engineering Ročník 40; číslo 12; s. 3545 - 3554
Hlavní autoři:	Emami, Hojjat, Derakhshan, Farnaz
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2015
Témata:	Engineering Humanities and Social Sciences multidisciplinary Research Article - Computer Engineering and Computer Science Science Fuzzy K-Means algorithm Particle Swarm Optimization Optimization Data clustering Imperialist Competitive Algorithm
ISSN:	1319-8025, 2191-4281
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