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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 gmail.com>
BugReports: https://github.com/jlisic/meanShiftR/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://meanmean.me/meanshift/r/cran/2016/08/28/meanShiftR.html
NeedsCompilation: yes
CRAN checks: meanShiftR results

Documentation:

Reference manual: meanShiftR.pdf

Downloads:

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

Reverse dependencies:

Reverse suggests: fdm2id, shipunov

Linking:

Please use the canonical form https://CRAN.R-project.org/package=meanShiftR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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