A new method combining LDA and PLS for dimension reduction.

Linear discriminant analysis (LDA) is a classical statistical approach for dimensionality reduction and classification. In many cases, the projection direction of the classical and extended LDA methods is not considered optimal for special applications. Herein we combine the Partial Least Squares (P...

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Autores principales: Liang Tang, Silong Peng, Yiming Bi, Peng Shan, Xiyuan Hu
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2014
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Acceso en línea:https://doaj.org/article/da1f0ba2699846309ca5312911630bc9
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