Robust orthogonal nonnegative matrix tri-factorization for data representation

• Main Authors: Peng, Siyuan, Ser, Wee, Chen, Badong, Lin, Zhiping
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2022
• 主題: Engineering::Electrical and electronic engineering; Correntropy; Orthogonality Constraint
• 在線閱讀: https://hdl.handle.net/10356/161108
• 機構: Nanyang Technological University

Nonnegative matrix factorization (NMF) has been a vital data representation technique, and has demonstrated significant potential in the field of machine learning and data mining. Nonnegative matrix tri-factorization (NMTF) is an extension of NMF, and provides more degrees of freedom than NMF. In th...