Genetic fuzzy clustering
Lawrence Hall, James C. Bezdek, S. Boggavarpu, Amine M. Bensaid · 2002
This paper describes a genetic guided fuzzy clustering algorithm. The fuzzy-c-means functional J/sub m/ is used as the fitness function. In two domains the approach is shown to avoid some higher values of J/sub m/ to which the fuzzy-c-means algorithm will converge under some initializations. Hence, the genetic guided approach shows promise as a clustering tool.>