In this paper,double SMO which is a improved SVM training algorithm is presented.This algorithm finds a approximate separating hyperplane on the sample data set by SMO algorithm,according to the approximate separating hyperplane,support vectors are collected,the separating hyperplane is achieved by SMO aogorithm again.

基于支持向量机的多属性大规模数据分类算法的研究.kdh

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