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.

Version: 0.56
Depends: R (≥ 3.1.0)
Published: 2021-09-21
Author: Jonathan Lisic [aut, cre]
Maintainer: Jonathan Lisic <jlisic at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: meanShiftR results


Reference manual: meanShiftR.pdf
Package source: meanShiftR_0.56.tar.gz
Windows binaries: r-devel:, r-devel-UCRT:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): meanShiftR_0.56.tgz, r-release (x86_64): meanShiftR_0.56.tgz, r-oldrel: meanShiftR_0.56.tgz
Old sources: meanShiftR archive

Reverse dependencies:

Reverse imports: fdm2id
Reverse suggests: shipunov


Please use the canonical form to link to this page.