Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

<Previous Article In Volume
Next Article In Volume>

Improved Genetic Fuzzy Clustering Algorithm Based on Serial Number Coding

Authors
Yong Zhou1
1School of Computer Science & Technology, China University of Mining & Technology
Corresponding Author
Yong Zhou
Available Online October 2007.
DOI
10.2991/iske.2007.163How to use a DOI?
Keywords
genetic algorithms, FCM, coding
Abstract

In illustration to high computational complexity of the genetic algorithm-based FCM clustering algorithm, combining with traditional genetic algorithms and FCM algorithm, an improved GFCA algorithm with serial number coding is proposed in this paper. The simulations of two standard data sets for the proposed algorithm show that the algorithm can reduce the computational complexity under the precondition of no loss in accuracy.

Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
10.2991/iske.2007.163
ISSN
1951-6851
DOI
10.2991/iske.2007.163How to use a DOI?
Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Yong Zhou
PY  - 2007/10
DA  - 2007/10
TI  - Improved Genetic Fuzzy Clustering Algorithm Based on Serial Number Coding
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 959
EP  - 963
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.163
DO  - 10.2991/iske.2007.163
ID  - Zhou2007/10
ER  -