性指标的价值函数达到最小。FCM与HCM的主要区别在于FCM用模糊划分，使得每个给定数据点用值在0，1间的隶属度来确定其属于各个组的程度。与-indicators of the value of minimizing function. HCM FCM with the main difference is fuzzy FCM, broken down to make each set of data points with the value 0, one of the membership