提出一种基于模糊C 均值的支持向量机分类算法，通过模糊C 均值算法对未知类别数据

进行划分，然后再利用支持向量行对划分后的数据机进训练。解决了以往人们应用支持向量机进行

数据分类识别前必须采用已知类别的数据对支持向量机进行训练的弊端，提高了数据分类的效率。-Support vector machines classification algorithm is proposed based on Fuzzy C-Means, Fuzzy C-Means algorithm unknown class data division, and then use the support vector line modem divided into training. Solve the drawbacks of the people in the past applied Support Vector Machine data classification and recognition must be known before the category of data for training support vector machine, to improve the efficiency of data classification.