A Two-Phase Algorithm for Robust Symmetric Non-Negative Matrix Factorization

A Two-Phase Algorithm for Robust Symmetric Non-Negative Matrix Factorization

As a special class of non-negative matrix factorization, symmetric non-negative matrix factorization (SymNMF) has been widely used in the machine learning field to mine the hidden non-linear structure of data. Due to the non-negative constraint and non-convexity of SymNMF, the efficiency of existing...

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Bibliographic Details
Main Authors: Bingjie Li, Xi Shi, Zhenyue Zhang
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Symmetry
Subjects:
symmetric non-negative matrix factorization
low-rank approximation
non-linear conjugate gradient method
projected gradient method
data clustering
Online Access:https://www.mdpi.com/2073-8994/13/9/1757

Internet

https://www.mdpi.com/2073-8994/13/9/1757

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