A fault identification with fuzzy C-Mean clustering algorithm based on improved ant colony algorithm (ACA) is presented to avoid local optimization in iterative process of fuzzy C-Mean (FCM) clustering algorithm and the difficulty in fault cl

模糊C均值脑电分类并使用了支持向量机对比，其中支持向量机使用了三种方法参数寻优。-fuzzy C means clustering for EEG classification，and use the SVM for campare. The SVM applied three methods to find the optimal apartments.

classification d image avec l algo FCM