Robust orthogonal nonnegative matrix tri-factorization for data representation

作者：

Highlights：

• The correntropy based orthogonal nonnegative matrix tri-factorization (CNMTF) algorithm is proposed.

• The robustness of CNMTF is analyzed by make a comparison with several robust NMF methods.

• The relationships between CNMTF and several previous NMF methods are also discussed.

摘要

•The correntropy based orthogonal nonnegative matrix tri-factorization (CNMTF) algorithm is proposed.•The robustness of CNMTF is analyzed by make a comparison with several robust NMF methods.•The relationships between CNMTF and several previous NMF methods are also discussed.

论文关键词：Nonnegative matrix tri-factorization,Correntropy,Orthogonality constraint,Outliers

论文评审过程：Received 12 July 2019, Revised 2 April 2020, Accepted 18 May 2020, Available online 22 May 2020, Version of Record 1 June 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106054