Fast structural ensemble for One-Class Classification
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- 作者：Jiachen Liua ; Qiguang Miaoa ; qgmiao@xidian.edu.cn" class="auth_mail" title="E-mail the corresponding author ; qgmiao@126.com" class="auth_mail" title="E-mail the corresponding author ; Yanan Suna ; Jianfeng Songa ; Yining Quana
- 关键词：One-class classifier ; Clustering ; Structural ensemble ; Divide-and-conquer
- 刊名：Pattern Recognition Letters
- 出版年：2016
- 出版时间：1 September 2016
- 年：2016
- 卷：80
- 期：Complete
- 页码：179-187
- 全文大小：2152 K
文摘
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We propose a fast structural ensemble OCC framework FS-EOCC.
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FS-EOCC does not need the determining of the number of clusters.
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FS-EOCC could convert a common OCC algorithm to a structural one.
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FS-EOCC run faster than most existing clustering based ensemble OCC methods.