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. See the paper by Xu, Luo and Chen (2023, ).

PLFD

Installation

install.packages("PLFD")

Usage

library(PLFD)
vignette('usage', 'PLFD')

Reference

Xu, Z., Luo S. and Chen Z. (2023). A portmanteau local feature discrimination approach to the high-dimensional matrix-variate data. Volume 85, pages 441–467