Modular ensembles for one-class classification based on density analysis
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- 作者：Jiachen LiuAuthor Vitae ; Qiguang Miao ; qgmiao@xidian.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Yanan SunAuthor Vitae ; Jianfeng SongAuthor Vitae ; Yining QuanAuthor Vitae
- 关键词：One-class classifier ; Modular ensemble ; Density analysis
- 刊名：Neurocomputing
- 出版年：2016
- 出版时间：1 January 2016
- 年：2016
- 卷：171
- 期：Complete
- 页码：262-276
- 全文大小：6167 K
文摘
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We propose a modular ensemble OCC algorithm DBM-EOC based on density analysis.
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We analyze peculiarities of the target class which are crucial for OCC.
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DBM-EOC obtains a tree structure of the target class considering density.
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DBM-EOC can automatically detect clusters and remove noise samples.
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DBM-EOC solves OCC problems with the divide-and-conquer method.