机译:基于加权互信息的不平衡数据特征选择方法
College of Computer and Communication Engineering China University of Petroleum (East China) Qingdao, Shandong Province, P. R. China;
College of Computer and Communication Engineering China University of Petroleum (East China) Qingdao, Shandong Province, P. R. China;
College of Computer and Communication Engineering China University of Petroleum (East China) Qingdao, Shandong Province, P. R. China;
School of Microelectronics Tianjin University Tianjin 300072, P. R. China;
Institute for Sensing and Embedded Network Systems Engineering Florida Atlantic University, 777 Glades Road Boca Raton, FL,33431, USA;
Feature selection; fuzzy c-means clustering; imbalanced data; mutual information;
机译:一种基于烟花的特征选择算法的不平衡数据分类的加权模式匹配方法
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机译:基于遗传算法的不平衡特征选择方法及其在无线电信号识别中的应用
机译:不平衡数据的加权基尼系数特征选择方法
机译:具有集合决策树方法的分数随机加权自动启动,用于分类数据
机译:特殊基因选择:一种新的特征选择方法可改善不平衡数据集中的分类性能
机译:基于GA的简单数据的特征选择方法,其应用于无线电信号识别