Multi-view clustering via deep concept factorization

作者：

Highlights：

• A multi-view clustering method based on multi-layer concept factorization is proposed.

• Kernel method is adopted to implement the clustering process in a higher feature space.

• The convergence of the objective function has been strictly proven.

摘要

•A multi-view clustering method based on multi-layer concept factorization is proposed.•Kernel method is adopted to implement the clustering process in a higher feature space.•The convergence of the objective function has been strictly proven.

论文关键词：Multi-view clustering,Deep clustering,Concept factorization,Kernel method

论文评审过程：Received 7 May 2020, Revised 13 December 2020, Accepted 24 January 2021, Available online 3 February 2021, Version of Record 12 February 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.106807