Package: varSel 0.2
varSel: Sequential Forward Floating Selection using Jeffries-Matusita Distance
Feature selection using Sequential Forward Floating feature Selection and Jeffries-Matusita distance. It returns a suboptimal set of features to use for image classification. Reference: Dalponte, M., Oerka, H.O., Gobakken, T., Gianelle, D. & Naesset, E. (2013). Tree Species Classification in Boreal Forests With Hyperspectral Data. IEEE Transactions on Geoscience and Remote Sensing, 51, 2632-2645, <doi:10.1109/TGRS.2012.2216272>.
Authors:
varSel_0.2.tar.gz
varSel_0.2.zip(r-4.5)varSel_0.2.zip(r-4.4)varSel_0.2.zip(r-4.3)
varSel_0.2.tgz(r-4.5-any)varSel_0.2.tgz(r-4.4-any)varSel_0.2.tgz(r-4.3-any)
varSel_0.2.tar.gz(r-4.5-noble)varSel_0.2.tar.gz(r-4.4-noble)
varSel_0.2.tgz(r-4.4-emscripten)varSel_0.2.tgz(r-4.3-emscripten)
varSel.pdf |varSel.html✨
varSel/json (API)
| # Install 'varSel' in R: |
| install.packages('varSel', repos = c('https://micheledalponte.r-universe.dev', 'https://cloud.r-project.org')) |
- dat - Hyperspectral data acquired over a forest area
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:d7c5b7906b. Checks:8 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 30 2025 |
| R-4.5-win | OK | Jan 30 2025 |
| R-4.5-mac | OK | Jan 30 2025 |
| R-4.5-linux | OK | Jan 30 2025 |
| R-4.4-win | OK | Jan 30 2025 |
| R-4.4-mac | OK | Jan 30 2025 |
| R-4.3-win | OK | Jan 30 2025 |
| R-4.3-mac | OK | Jan 30 2025 |
Exports:BHATdistJMdistvarSelSFFS
Dependencies:
