Improved Genetic Fuzzy Clustering Algorithm Based on Serial Number Coding

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/).

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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  -