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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("PLFD")

0.1.1 by Zengchao Xu, 10 days ago


https://gitee.com/xu-zc/PLFD


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