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Feature Selection Method Based on Partial Least Squares and Analysis of Traditional Chinese Medicine Data
The partial least squares method has many advantages in multivariable linear regression, but it does not include the function of feature selection. This method cannot screen for the best feature subset (referred to in this study as the “Gold Standard”) or optimize the model, although contrarily usin...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6636449/ https://www.ncbi.nlm.nih.gov/pubmed/31354860 http://dx.doi.org/10.1155/2019/9580126 |