DocumentCode
349073
Title
Fuzzy c-mean clustering using evolutionary self-organizing
Author
Yao, Susu
Author_Institution
Tongyuan Univ., Nanjing, China
Volume
2
fYear
1999
fDate
5-8 Sep 1999
Firstpage
709
Abstract
This paper presents a hybrid method of fuzzy clustering using evolutionary search and self-organizing, which has both advantages of evolutionary algorithm and self-organizing. Simulation experiments have shown that the convergence speed of the proposed method is faster than that of pure evolutionary algorithm
Keywords
evolutionary computation; feature extraction; fuzzy set theory; object recognition; self-adjusting systems; convergence speed; evolutionary search; fuzzy c-mean clustering; self-organizing; Clustering algorithms; Clustering methods; Convergence; Electronic mail; Evolutionary computation; Fuzzy sets; Genetic algorithms; Organizing; Shape; Virtual colonoscopy;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits and Systems, 1999. Proceedings of ICECS '99. The 6th IEEE International Conference on
Conference_Location
Pafos
Print_ISBN
0-7803-5682-9
Type
conf
DOI
10.1109/ICECS.1999.813207
Filename
813207
Link To Document