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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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Detaylı Bibliyografya
Asıl Yazarlar: Qi, Xin, Luo, Ruiyan, Zhao, Hongyu
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2012
Konular:
Online Erişim: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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