As CFCM algorithm provides good classification resolution but the selecting of initial vectors is of great difficulty and blindness.
CF CM算法具有良好的分类精度，但其初值的选取却是非常困难的。
Via abstracting this pre-information, the blindness of choosing the classifier can be reduced and existing method of multi-classification can be advanced to improve their accuracy of classification.
第四，利用闭凸包收缩原理和特征空间分离度量方法对决策树多类分类算法进行了改进。
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