Improved Fuzzy C-Means Clustering Algorithm

A method of fuzzy clustering based on genetic algorithms is proposed in this paper. This method applies the improved genetic arithmetic to optimization of the Fuzzy C-Mean (FCM) arithmetic. FCM arithmetic has the limitation of converging to the local infinitesimal point, in our method, some interrelated key technique problems, such as encoding method, genetic operators, restrict condition, fitness function for the traditional genetic algorithm, are further reformed. Experiment results show that the method can search global optimum partly so that the clustering results are better than those of only using the FCM.