This package is considered a duplicate. The official version of this package is found at:https://jlisic.r-universe.dev/meanShiftR
Package: meanShiftR 0.56
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-4.7-arm64)meanShiftR_0.56.tar.gz(r-4.7-x86_64)meanShiftR_0.56.tar.gz(r-4.6-arm64)meanShiftR_0.56.tar.gz(r-4.6-x86_64)
meanShiftR_0.56.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:235e3363a7. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 140 | ||
| linux-devel-x86_64 | OK | 108 | ||
| source / vignettes | OK | 131 | ||
| linux-release-arm64 | OK | 146 | ||
| linux-release-x86_64 | OK | 98 | ||
| wasm-release | OK | 98 |
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 |
