An Accelerated Symmetric Nonnegative Matrix Factorization Algorithm Using Extrapolation

An Accelerated Symmetric Nonnegative Matrix Factorization Algorithm Using Extrapolation

Symmetric nonnegative matrix factorization (SNMF) approximates a symmetric nonnegative matrix by the product of a nonnegative low-rank matrix and its transpose. SNMF has been successfully used in many real-world applications such as clustering. In this paper, we propose an accelerated variant of the...

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Bibliographic Details
Main Authors: Peitao Wang, Zhaoshui He, Jun Lu, Beihai Tan, YuLei Bai, Ji Tan, Taiheng Liu, Zhijie Lin
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Symmetry
Subjects:
symmetric nonnegative matrix factorization
extrapolation scheme
symmetric nonnegative tensor factorization
clustering
Online Access:https://www.mdpi.com/2073-8994/12/7/1187

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