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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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| Publicat a: | ACS Omega |
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| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
American Chemical Society
2020
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| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7581267/ https://ncbi.nlm.nih.gov/pubmed/33110988 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acsomega.0c03362 |
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