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: 0.53
Depends: R (≥ 3.1.0)
Published: 2018-12-03
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_0.53.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: meanShiftR_0.53.tgz, r-oldrel: meanShiftR_0.53.tgz
Old sources: meanShiftR archive

Reverse dependencies:

Reverse imports: fdm2id
Reverse suggests: shipunov


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