Package: meanShiftR 0.56
Jonathan Lisic
meanShiftR: A Computationally Efficient Mean Shift Implementation
Performs mean shift classification using linear and k-d tree based nearest neighbor implementations for the Gaussian, Epanechnikov, and biweight product kernels.
Authors:
meanShiftR_0.56.tar.gz
meanShiftR_0.56.tar.gz(r-4.5-noble)meanShiftR_0.56.tar.gz(r-4.4-noble)
meanShiftR_0.56.tgz(r-4.4-emscripten)meanShiftR_0.56.tgz(r-4.3-emscripten)
meanShiftR.pdf |meanShiftR.html✨
meanShiftR/json (API)
| # Install 'meanShiftR' in R: |
| install.packages('meanShiftR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jlisic/meanshiftr/issues
Last updated 3 years agofrom:235e3363a7. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 19 2024 |
| R-4.5-linux-x86_64 | OK | Sep 20 2024 |
Exports:knn_meanShiftmeanShift
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| K-d tree based k nearest neighbor search | knn_meanShift |
| Mean shift classification | meanShift |
