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Block-Active ADMM to Minimize NMF with Bregman Divergences

Over the last ten years, there has been a significant interest in employing nonnegative matrix factorization (NMF) to reduce dimensionality to enable a more efficient clustering analysis in machine learning. This technique has been applied in various image processing applications within the fields o...

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Detalles Bibliográficos
Autores principales: Li, Xinyao, Tyagi, Akhilesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459034/
https://www.ncbi.nlm.nih.gov/pubmed/37631765
http://dx.doi.org/10.3390/s23167229