Structured nonnegative matrix factorization with applications to hidden Markov realization and clustering

DOI10.1016/J.LAA.2008.03.010zbMath1154.15017OpenAlexW2004778949MaRDI QIDQ947603

Jan C. Willems, Bart De Moor, Bart Vanluyten

Publication date: 6 October 2008

Published in: Linear Algebra and its Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.laa.2008.03.010

zbMATH Keywords

iterative algorithmclustersKullback-Leibler divergencenonnegative matrix factorizationhidden Markov realizationmultiplicative update formulas

Mathematics Subject Classification ID

Factorization of matrices (15A23) Positive matrices and their generalizations; cones of matrices (15B48)

Related Items (1)

Low-rank nonnegative tensor approximation via alternating projections and sketching

Cites Work

• Unnamed Item
• Approximation of stationary processes by hidden Markov models
• On reduced rank nonnegative matrix factorization for symmetric nonnegative matrices
• Nonnegative matrix factorization and I-divergence alternating minimization
• Nonnegative matrix factorization for spectral data analysis
• Learning the parts of objects by non-negative matrix factorization

This page was built for publication: Structured nonnegative matrix factorization with applications to hidden Markov realization and clustering