Multi-view clustering via joint feature selection and partially constrained cluster label learning
作者：
Highlights：
• Cluster indicator is improved assisted by prior knowledge for multi-view data.
• Feature selection helps to select discriminative views and features in a view.
• Cluster indicator is a better embedding than an orthogonal embedding.
• Running time of our method is similar with that of the mainstream approaches.
摘要
•Cluster indicator is improved assisted by prior knowledge for multi-view data.•Feature selection helps to select discriminative views and features in a view.•Cluster indicator is a better embedding than an orthogonal embedding.•Running time of our method is similar with that of the mainstream approaches.
论文关键词：Multi-view clustering,Feature selection,Prior information,Cluster indicator
论文评审过程：Received 19 July 2018, Revised 4 April 2019, Accepted 24 April 2019, Available online 25 April 2019, Version of Record 9 May 2019.
论文官网地址：https://doi.org/10.1016/j.patcog.2019.04.024
