Robust orthogonal nonnegative matrix tri-factorization for data representation

Robust orthogonal nonnegative matrix tri-factorization for data representation

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...

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Bibliographic Details
Main Authors: Peng, Siyuan, Ser, Wee, Chen, Badong, Lin, Zhiping
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Electrical and electronic engineering
Correntropy
Orthogonality Constraint
Online Access:https://hdl.handle.net/10356/161108

Internet

https://hdl.handle.net/10356/161108

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