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:Jonathan Lisic [aut, cre]

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

Uses libs:
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openmp

2.60 score 1 stars 1 packages 58 scripts 2.3k downloads 2 exports 0 dependencies

Last updated from:235e3363a7. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK140
linux-devel-x86_64OK108
source / vignettesOK131
linux-release-arm64OK146
linux-release-x86_64OK98
wasm-releaseOK98

Exports:knn_meanShiftmeanShift

Dependencies: