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Sparse principal component analysis by choice of norm
Recent years have seen the developments of several methods for sparse principal component analysis due to its importance in the analysis of high dimensional data. Despite the demonstration of their usefulness in practical applications, they are limited in terms of lack of orthogonality in the loadin...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2012
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3601508/ https://ncbi.nlm.nih.gov/pubmed/23524453 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jmva.2012.07.004 |
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