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: 0.51
Depends: R (≥ 3.1.0)
Published: 2017-09-05
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

Downloads:

Reference manual: meanShiftR.pdf
Package source: meanShiftR_0.51.tar.gz
Windows binaries: r-devel: meanShiftR_0.51.zip, r-release: meanShiftR_0.51.zip, r-oldrel: meanShiftR_0.51.zip
OS X El Capitan binaries: r-release: meanShiftR_0.51.tgz
OS X Mavericks binaries: r-oldrel: meanShiftR_0.51.tgz
Old sources: meanShiftR archive

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