Portmanteau Local Feature Discrimination for Matrix-Variate Data
Overview
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, doi:10.1007/s13171-021-00255-2).
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Documentation
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Dependencies
Installing PLFD adds 3 packages (2 with compiled code, 5.8 MB of source tarballs). Heaviest: mathjaxr 3.0 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.
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Package metadata
- First published
- 2021-08-09
- Total releases
- 4 / 5 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 23 KB
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