A constrained singular value decomposition method that integrates sparsity and orthogonality

We propose a new sparsification method for the singular value decomposition—called the constrained singular value decomposition (CSVD)—that can incorporate multiple constraints such as sparsification and orthogonality for the left and right singular vectors. The CSVD can combine different constraint...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Guillemot, Vincent, Beaton, Derek, Gloaguen, Arnaud, Löfstedt, Tommy, Levine, Brian, Raymond, Nicolas, Tenenhaus, Arthur, Abdi, Hervé
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2019
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6415851/
https://ncbi.nlm.nih.gov/pubmed/30865639
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0211463
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