关键词: 模糊C均值聚类, 模糊C均值（FCM）聚类算法, 遗传算法

Abstract: Based on the fuzzy C-means clustering algorithm，taking advantage of genetic algorithm with the feature of global random search，a novel improved algorithm combining genetic algorithm and FCM clustering algorithm is proposed.First of all，the method adopts an initial algorithm to assure the initial searching scope of genetic algorithm.Then improvements are appropriately made on parameter.Lastly step of the new algorithm is proposed.The method solves the limitation of converging to the local infinitesimal point in medical image segmentation，and adopts the initial algorithm to assure the initial searching scope of genetic algorithm which is better accommodable than standard genetic algorithm with fuzzy C-means clustering，speeding up the convergence of genetic algorithm.Contrast with results of experiment，the method is better than standard genetic algorithm fused with fuzzy C-means clustering.

Key words: fuzzy C-means clustering, Fuzzy C-Means（FCM） clustering algorithm, genetic algorithm