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Stochastic convex sparse principal component analysis
Principal component analysis (PCA) is a dimensionality reduction and data analysis tool commonly used in many areas. The main idea of PCA is to represent high-dimensional data with a few representative components that capture most of the variance present in the data. However, there is an obvious dis...
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| Publicado no: | EURASIP J Bioinform Syst Biol |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5018037/ https://ncbi.nlm.nih.gov/pubmed/27660635 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13637-016-0045-x |
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