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Robust PCA via Regularized Reaper with a Matrix-Free Proximal Algorithm
Principal component analysis (PCA) is known to be sensitive to outliers, so that various robust PCA variants were proposed in the literature. A recent model, called reaper, aims to find the principal components by solving a convex optimization problem. Usually the number of principal components must...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer US
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8549967/ https://www.ncbi.nlm.nih.gov/pubmed/34720419 http://dx.doi.org/10.1007/s10851-021-01019-1 |