Title :
Fuzzy c-mean clustering using evolutionary self-organizing
Author_Institution :
Tongyuan Univ., Nanjing, China
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;
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
DOI :
10.1109/ICECS.1999.813207
