Review of One-class Classification Method Based on Support Vector

doi:10.3969/j.issn.1000-3428.2011.05.063

Computer Engineering ›› 2011, Vol. 37 ›› Issue (5): 187-189. doi: 10.3969/j.issn.1000-3428.2011.05.063

• Networks and Communications • Previous Articles Next Articles

Review of One-class Classification Method Based on Support Vector

WU Ding-hai ¹, ZHANG Pei-lin ¹, REN Guo-quan¹, CHEN Fei ²

(1. Department of Artillery Engineering, Ordnance Engineering College, Shijiazhuang 050003, China; 2. Foundation Department, Wuhan Ordnance Non-commission Officer School, Wuhan 430075, China)

Online:2011-03-05 Published:2012-10-31

基于支持向量的单类分类方法综述

吴定海¹，张培林¹，任国全¹，陈非²

(1. 军械工程学院火炮工程系，石家庄 050003；2. 武汉士官学校基础部，武汉 430075)

作者简介:吴定海(1981－)，男，博士研究生，主研方向：模式识别，人工智能；张培林，教授、博士、博士生导师；任国全，副教授、博士；陈非，讲师
基金资助:
河北省自然科学基金资助项目(E20007001048)

Abstract

Abstract: Two one-class classification models, one-class support vector machine and support vector data description, which are based on support vector machine and one-class classification are introduced. The internal relationship and parameters optimization of the two models are also analysed, and the exists of disadvantages and improvements of the two one-class classifiers are summarized.

Key words: one-class classification, support vector, data description, pattern recognition

摘要： 研究基于支持向量机理论和单类分类思想的2种支持向量域数据描述模型，即单分类支持向量机和支持向量描述模型，分析2类模型之间的区别和联系以及参数的优化设置，总结支持向量域单分类方法存在的缺点以及目前对这2类支持向量描述模型研究的改进方向。

关键词: 单类分类, 支持向量, 数据描述, 模式识别

CLC Number:

TH113.1

TUN Ding-Hai, ZHANG Pei-Lin, LIN Guo-Quan, CHEN Fei-. Review of One-class Classification Method Based on Support Vector[J]. Computer Engineering, 2011, 37(5): 187-189.

吴定海, 张培林, 任国全, 陈非. 基于支持向量的单类分类方法综述[J]. 计算机工程, 2011, 37(5): 187-189.

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References

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