云南民族大学学报（自然科学版）Issue(6)：501-505,5.DOI:12.3969/j.issn.1672-8513.2015.06.014
基于高斯分布的非平衡 FSVM
A FSVM for the imbalanced dataset based on the Gaussian distribution
摘要
Abstract
Due to the defects in the fuzzy membership as a function of the distance of the sample points from the clus-ter center and its sensitivity to the imbalanced dataset in current fuzzy support vector machines (FSVM),a novel FS-VMbased on the Gaussian distribution is proposed.In the proposed method,the fuzzy membership is defined by not only the imbalance ratio between the numbers of two classes of datasets,but also those probability distributions.It can effectively improve the discrimination ability between normal samples with noise or outliers.Experimental results show that the proposed method is more robust than the traditional FSVMfor the imbalanced datasets with noise.关键词
模糊支持向量机/不平衡数据集/噪声Key words
fuzzy support vector machine/imbalanced dataset/noise分类
信息技术与安全科学引用本文复制引用
吴武斌,罗秋凤..基于高斯分布的非平衡 FSVM[J].云南民族大学学报（自然科学版）,2015,(6):501-505,5.基金项目
江苏省自然科学基金（BK20130817）；国家质检总局项目（2015424068）． （）
