Portmanteau Local Feature Discrimination for Matrix-Variate Data

The portmanteau local feature discriminant approach first identifies the local discriminant features and their differential structures, then constructs the discriminant rule by pooling the identified local features together. This method is applicable to high-dimensional matrix-variate data.


Reference manual

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0.1.1 by Zengchao Xu, 4 months ago


Report a bug at https://gitee.com/xu-zc/PLFD/issues

Browse source code at https://github.com/cran/PLFD

Authors: Zengchao Xu [aut, cre] , Shan Luo [aut] , Zehua Chen [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports Rcpp, mathjaxr

Suggests knitr, rmarkdown, markdown

Linking to Rcpp, RcppArmadillo

See at CRAN