Complex Chemical Data Classification and Discrimination Using Locality Preserving Partial Least Squares Discriminant Analysis

[Image: see text] Partial least squares discriminant analysis (PLS-DA) is a well-known technique for feature extraction and discriminant analysis in chemometrics. Despite its popularity, it has been observed that PLS-DA does not automatically lead to extraction of relevant features. Feature learning...

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Detalles Bibliográficos
Autores principales: Aminu, Muhammad, Ahmad, Noor Atinah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7581267/
https://www.ncbi.nlm.nih.gov/pubmed/33110988
http://dx.doi.org/10.1021/acsomega.0c03362

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7581267/
https://www.ncbi.nlm.nih.gov/pubmed/33110988
http://dx.doi.org/10.1021/acsomega.0c03362

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