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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| 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 |