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Majority scoring with backward elimination in PLS for high dimensional spectrum data
Variable selection is crucial issue for high dimensional data modeling, where sample size is smaller compared to number of variables. Recently, majority scoring of filter measures in PLS (MS-PLS) is introduced for variable selection in high dimensional data. Filter measures are not greedy for optima...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8379245/ https://www.ncbi.nlm.nih.gov/pubmed/34417501 http://dx.doi.org/10.1038/s41598-021-96389-2 |