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...

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Detalles Bibliográficos
Autores principales: Huang, Canyi, Du, Jianqiang, Nie, Bin, Yu, Riyue, Xiong, Wangping, Zeng, Qingxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
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

Internet

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

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