中文说明：模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)。在众多模糊聚类算法中，模糊C-均值（ FCM） 算法应用最广泛且较成功，它通过优化目标函数得到每个样本点对所有类中心的隶属度，从而决定样本点的类属以达到自动对样本数据进行分类的目的。
English Description：
Fuzzy c-means algorithm (FCMA). In many fuzzy clustering algorithms, fuzzy C-means (FCM) algorithm is the most widely used and more successful. It obtains the membership degree of each sample point to all class centers by optimizing the objective function, so as to determine the class of the sample points, so as to achieve the purpose of automatic classification of sample data.