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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Bibliographic Details

Published in:	Arabian Journal for Science and Engineering Vol. 40; no. 12; pp. 3545 - 3554
Main Authors:	Emami, Hojjat, Derakhshan, Farnaz
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2015
Subjects:	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
Online Access:	Get full text
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