Discriminative subspace matrix factorization for multiview data clustering

作者：

Highlights：

• A unified framework is proposed to discover the intrinsic structure.

• A pseudo supervised regularization term is designed to refine the clustering results.

• We propose an ALM-based optimization algorithm to seek its optimal solution.

• Experimental results demonstrate the superiority of our proposed approach.

摘要

•A unified framework is proposed to discover the intrinsic structure.•A pseudo supervised regularization term is designed to refine the clustering results.•We propose an ALM-based optimization algorithm to seek its optimal solution.•Experimental results demonstrate the superiority of our proposed approach.

论文关键词：Dimension reduction,Multiview,Clustering,Machine learning

论文评审过程：Received 19 April 2020, Revised 22 July 2020, Accepted 22 September 2020, Available online 28 September 2020, Version of Record 5 October 2020.

论文官网地址：https://doi.org/10.1016/j.patcog.2020.107676