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基于粒子群优化算法的特征选择SVM分类

于 2021-03-05 发布文件大小:275KB

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针对“BreastCancer”数据集，作为对比，第一次对特征集直接进行SVM分类，第二次使用粒子群算法进行特征选择后再进行SVM分类。并且对比和分析了两次分类的结果。(For "BreastCancer" data set, as a comparison, the first time the feature set is directly classified by SVM, and the second time the feature set is selected by particle swarm optimization before SVM classification. The results of the two classifications are compared and analyzed.)

文件列表：

基于粒子群优化算法的特征选择SVM分类, 0 , 2019-07-31
基于粒子群优化算法的特征选择SVM分类\BreastCancer_data.xlsx, 42899 , 2018-12-07
基于粒子群优化算法的特征选择SVM分类\BreastCancer_PSO_SVM.m, 2008 , 2019-01-03
基于粒子群优化算法的特征选择SVM分类\BreastCancer_SVM.m, 185 , 2018-12-07
基于粒子群优化算法的特征选择SVM分类\fun.m, 462 , 2019-01-03
基于粒子群优化算法的特征选择SVM分类\代码.doc, 308224 , 2019-01-03
基于粒子群优化算法的特征选择SVM分类\分析.docx, 74072 , 2019-01-03

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