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...

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Detalles Bibliográficos
Autores principales: Xiao, Xinping, Fu, Dian, Shi, Yu, Wen, Jianghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
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

Internet

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

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