PLFD-package: PLFD: Portmanteau Local Feature Discrimination for...

In PLFD: Portmanteau Local Feature Discrimination for Matrix-Variate Data

PLFD: Portmanteau Local Feature Discrimination for Matrix-Variate Data

Description

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, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s13171-021-00255-2")}).

Author(s)

Maintainer: Zengchao Xu [e-mail]

Authors:

• Shan Luo

• Zehua Chen

See Also

Useful links:

• https://github.com/paradoxical-rhapsody/PLFD

• Report bugs at https://github.com/paradoxical-rhapsody/PLFD/issues

PLFD documentation built on June 8, 2025, 10:37 a.m.