Block-Active ADMM to Minimize NMF with Bregman Divergences
Over the last ten years, there has been a significant interest in employing <i>nonnegative matrix factorization</i> (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 f...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2023-08-01
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| Collection: | Sensors |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/1424-8220/23/16/7229 |
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