Robust nonnegative matrix factorization with local coordinate constraint for image clustering

Robust nonnegative matrix factorization with local coordinate constraint for image clustering

Nonnegative matrix factorization (NMF) has attracted increasing attention in data mining and machine learning. However, existing NMF methods have some limitations. For example, some NMF methods seriously suffer from noisy data contaminated by outliers, or fail to preserve the geometric information o...

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Bibliographic Details
Main Authors: Peng, Siyuan, Ser, Wee, Chen, Badong, Sun, Lei, Lin, Zhiping
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2021
Subjects:
Engineering::Computer science and engineering::Computing methodologies
Nonnegative Matrix Factorization
Correntropy
Online Access:https://hdl.handle.net/10356/149879

Internet

https://hdl.handle.net/10356/149879

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