Convergence of a Fast Hierarchical Alternating Least Squares Algorithm for Nonnegative Matrix Factorization

The hierarchical alternating least squares (HALS) algorithms are powerful tools for nonnegative matrix factorization (NMF), among which the Fast-HALS, proposed in [A. Cichocki and A.-H. Phan, 2009], is one of the most efficient. This paper investigates the convergence of Fast-HALS. First, a more gen...

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Vydáno v:	IEEE transactions on knowledge and data engineering Ročník 36; číslo 1; s. 77 - 89
Hlavní autoři:	Hou, Liangshao, Chu, Delin, Liao, Li-Zhi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithm design and analysis Algorithms Approximation algorithms Columns (structural) Convergence Factorization Kurdyka-Łojasiewicz property Least squares Least squares approximations nonnegative matrix factorization the fast hierarchical alternating least squares algorithm
ISSN:	1041-4347, 1558-2191
On-line přístup:	Získat plný text
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