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-4.5-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'))

Peer review:

Bug tracker:https://github.com/jlisic/meanshiftr/issues

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

openmp

1.63 score 1 stars 43 scripts 523 downloads 2 exports 0 dependencies

Last updated 3 years agofrom:235e3363a7. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 18 2024
R-4.5-linux-x86_64OKDec 18 2024

Exports:knn_meanShiftmeanShift

Dependencies: