Robust orthogonal nonnegative matrix tri-factorization for data representation

• المؤلفون الرئيسيون: Peng, Siyuan, Ser, Wee, Chen, Badong, Lin, Zhiping
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Electrical and electronic engineering; Correntropy; Orthogonality Constraint
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/161108

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...