说明：  模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。
(Fuzzy C-means algorithm converges to local minimum points easily, in order to overcome the shortcomings of genetic algorithm is applied to fuzzy C-means algorithm (FCM) of the optimization calculations, by the genetic algorithm is the initial cluster centers, and then use the standard Fuzzy C-Means clustering algorithm to obtain the optimal classification result.)