Weighted Multi-view Clustering with Feature Selection
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- 作者：Yu-Meng Xua ; yumengxu@hotmail.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Chang-Dong Wangb ; changdongwang@hotmail.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Jian-Huang Laia ; stsljh@mail.sysu.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Data clustering ; Multi-view ; Feature selection ; Weighting
- 刊名：Pattern Recognition
- 出版年：2016
- 出版时间：May 2016
- 年：2016
- 卷：53
- 期：Complete
- 页码：25-35
- 全文大小：910 K
文摘
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This paper proposes a new multi-view data clustering algorithm.
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The new method considers both view weighting and feature weighting.
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An EM-like method is designed to get the local optimum solution.
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Extensive experiments have been conducted to show the effectiveness.