A Block Coordinate Descent-Based Projected Gradient Algorithm for Orthogonal Non-Negative Matrix Factorization

A Block Coordinate Descent-Based Projected Gradient Algorithm for Orthogonal Non-Negative Matrix Factorization

This article uses the projected gradient method (PG) for a non-negative matrix factorization problem (NMF), where one or both matrix factors must have orthonormal columns or rows. We penalize the orthonormality constraints and apply the PG method via a block coordinate descent approach. This means t...

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Bibliographic Details
Main Authors: Soodabeh Asadi, Janez Povh
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Mathematics
Subjects:
non-negative matrix factorization
orthogonality conditions
projected gradient method
multiplicative update algorithm
block coordinate descent
Online Access:https://www.mdpi.com/2227-7390/9/5/540

Internet

https://www.mdpi.com/2227-7390/9/5/540

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