计算机应用研究2009，Vol.26Issue(8)：3131-3133,3158,4.DOI:10.3969/j.issn.1001-3695.2009.08.096
基于样本投影分布的平衡不平衡数据集分类
Balanced and imbalanced data sets classification based on sample projection distribution
摘要
Abstract
This paper proposed a new unified classification method for balanced and imbalanced data sets. Firstly, obtained training sample projection based on SVM hyperplane normal direction, secondly, acquired the description for training sample projection distribution by means of SVDD, at last, realized classification for test sample based on the distribution description. The proposed method unified classification form for balanced and imbalanced data sets. The experiments show that the method has good classification appearance for balanced and imbalanced data sets.关键词
平衡不平衡数据集/样本投影分布/支持向量机/支持向量数据描述Key words
balanced and imbalanced data sets/sample projection distribution/support vector machine(SVM)/support vector data description(SVDD)分类
信息技术与安全科学引用本文复制引用
文传军,詹永照..基于样本投影分布的平衡不平衡数据集分类[J].计算机应用研究,2009,26(8):3131-3133,3158,4.基金项目
国家自然科学基金资助项目(60673190) （60673190）
