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Fourth International Conference on Hybrid Intelligent Systems (HIS'04)
A Fuzzy Clustering Algorithm using Cellular Learning Automata based Evolutionary Algorithm
Kitakyushu, Japan
December 05-December 08
ISBN: 0-7695-2291-2
ASCII Text
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R. Rastegar, A. R. Arasteh, A. Hariri, M. R. Meybodi, "A Fuzzy Clustering Algorithm using Cellular Learning Automata based Evolutionary Algorithm," Hybrid Intelligent Systems, International Conference on, pp. 310-314, Fourth International Conference on Hybrid Intelligent Systems (HIS'04), 2004.
 
 
BibTex
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@article{ 10.1109/ICHIS.2004.3,
author = {R. Rastegar and A. R. Arasteh and A. Hariri and M. R. Meybodi},
title = {A Fuzzy Clustering Algorithm using Cellular Learning Automata based Evolutionary Algorithm},
journal ={Hybrid Intelligent Systems, International Conference on},
volume = {0},
year = {2004},
isbn = {0-7695-2291-2},
pages = {310-314},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICHIS.2004.3},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Hybrid Intelligent Systems, International Conference on
TI - A Fuzzy Clustering Algorithm using Cellular Learning Automata based Evolutionary Algorithm
SN - 0-7695-2291-2
SP310
EP314
A1 - R. Rastegar,
A1 - A. R. Arasteh,
A1 - A. Hariri,
A1 - M. R. Meybodi,
PY - 2004
KW - null
VL - 0
JA - Hybrid Intelligent Systems, International Conference on
ER -
 
R. Rastegar, Amirkabir University of Technology, Tehran, Iran
A. R. Arasteh, Amirkabir University of Technology, Tehran, Iran
A. Hariri, Amirkabir University of Technology, Tehran, Iran
M. R. Meybodi, Amirkabir University of Technology, Tehran, Iran
In this paper, a new fuzzy clustering algorithm that uses cellular learning automata based evolutionary computing (CLA-EC) is proposed. The CLA-EC is a model obtained by combining the concepts of cellular learning automata and evolutionary algorithms. The CLA-EC is used to search for cluster centers in such a way that minimizes the clustering criterion. The simulation results indicate that the proposed algorithm produces clusters with acceptable quality with respect to clustering criterion and provides a performance that is superior to that of the C-means algorithm.
Citation:
R. Rastegar, A. R. Arasteh, A. Hariri, M. R. Meybodi, "A Fuzzy Clustering Algorithm using Cellular Learning Automata based Evolutionary Algorithm," his, pp.310-314, Fourth International Conference on Hybrid Intelligent Systems (HIS'04), 2004
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