PLFD
0.2.1Portmanteau Local Feature Discrimination for Matrix-Variate Data
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Overview
About
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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- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Last activity 2025-07-10
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R >= 3.5.0
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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
- Installed size
- not tracked yet
- With dependencies
- not tracked yet