Title :
Evolutionary search based fuzzy self-organizing clustering
Author_Institution :
Tongyuan Univ., Nanjing, China
Abstract :
This paper presents a hybrid method of fuzzy clustering using evolutionary search and self-organization, which has the advantages of both. Simulation experiments have shown that the convergence speed of the proposed method is faster than that of pure evolutionary algorithm
Keywords :
convergence of numerical methods; evolutionary computation; fuzzy set theory; pattern clustering; search problems; unsupervised learning; convergence; evolutionary search; fuzzy clustering; fuzzy self-organizing clustering; self-organization; unsupervised clustering; Clustering algorithms; Clustering methods; Convergence; Electronic mail; Evolutionary computation; Fuzzy sets; Genetic algorithms; Shape; Stochastic processes; Virtual colonoscopy;
Conference_Titel :
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5536-9
DOI :
10.1109/CEC.1999.781924
