计算机工程与应用2012，Vol.48Issue(29)：196-200,5.DOI:10.3778/j.issn.1002-8331.2012.29.040
一种Vague集的模糊支持向量数据描述
Fuzzy support vector data description based on vague sets
摘要
Abstract
To resolve the problem of over-fitted caused by noises and outliers in support vector data description, fuzzy support vector data description based on vague sets( VFSVDD) is proposed in this paper. Fuzzy fc-means clustering algorithm is employed for generating the truth-membership and false-membership, how each training example affects the boundary of hypersphere could be controlled. Test data from UCI machine learning repository are employed to evaluate the usefulness of VFSVDD.关键词
支持向量数据描述/Vague集/隶属度/模糊k-均值聚类Key words
Support Vector Data Description (SVDD)/ Vague set/ membership/ fuzzy I-means分类
信息技术与安全科学引用本文复制引用
沈菊红,黄永东,孔妮娜..一种Vague集的模糊支持向量数据描述[J].计算机工程与应用,2012,48(29):196-200,5.基金项目
国家自然科学基金(No.10961001) （No.10961001）
宁夏自然科学基金(No.NZ1056) （No.NZ1056）
北方民族大学科学研究基金(No.2009Y032). （No.2009Y032）
