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Principal Component Analysis With Sparse Fused Loadings

In this article, we propose a new method for principal component analysis (PCA), whose main objective is to capture natural “blocking” structures in the variables. Further, the method, beyond selecting different variables for different components, also encourages the loadings of highly correlated va...

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Dades bibliogràfiques
Publicat a:J Comput Graph Stat
Autors principals: Guo, Jian, James, Gareth, Levina, Elizaveta, Michailidis, George, Zhu, Ji
Format: Artigo
Idioma:Inglês
Publicat: 2012
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC4394907/
https://ncbi.nlm.nih.gov/pubmed/25878487
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1198/jcgs.2010.08127
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