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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Detalles Bibliográficos
Autores principales: Guillemot, Vincent, Beaton, Derek, Gloaguen, Arnaud, Löfstedt, Tommy, Levine, Brian, Raymond, Nicolas, Tenenhaus, Arthur, Abdi, Hervé
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6415851/
https://www.ncbi.nlm.nih.gov/pubmed/30865639
http://dx.doi.org/10.1371/journal.pone.0211463

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6415851/
https://www.ncbi.nlm.nih.gov/pubmed/30865639
http://dx.doi.org/10.1371/journal.pone.0211463

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