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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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: Qi, Xin, Luo, Ruiyan, Zhao, Hongyu
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2012
Aiheet:
Linkit: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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