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Optimized Mahalanobis–Taguchi System for High-Dimensional Small Sample Data Classification
The Mahalanobis–Taguchi system (MTS) is a multivariate data diagnosis and prediction technology, which is widely used to optimize large sample data or unbalanced data, but it is rarely used for high-dimensional small sample data. In this paper, the optimized MTS for the classification of high-dimens...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7199641/ https://www.ncbi.nlm.nih.gov/pubmed/32405295 http://dx.doi.org/10.1155/2020/4609423 |