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CUR matrix decompositions for improved data analysis
Principal components analysis and, more generally, the Singular Value Decomposition are fundamental data analysis tools that express a data matrix in terms of a sequence of orthogonal or uncorrelated vectors of decreasing importance. Unfortunately, being linear combinations of up to all the data poi...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2630100/ https://ncbi.nlm.nih.gov/pubmed/19139392 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.0803205106 |
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