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.

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Package
meanShiftR
Type
Package
Title
A Computationally Efficient Mean Shift Implementation
Version
0.53
Date
2018-12-02
URL
BugReports
https://github.com/jlisic/meanShiftR/issues
Maintainer
Jonathan Lisic
Description
Performs mean shift classification using linear and k-d tree based nearest neighbor implementations for the Gaussian, Epanechnikov, and biweight product kernels.
Depends
R (>= 3.1.0)
License
GPL (>= 2)
RoxygenNote
6.0.1
NeedsCompilation
yes
Packaged
2018-12-02 15:21:58 UTC; jonathanlisic
Author
Jonathan Lisic [aut, cre]
Repository
CRAN
Date/Publication
2018-12-03 20:50:03 UTC

install.packages('meanShiftR')

0.53

6 days ago

http://meanmean.me/meanshift/r/cran/2016/08/28/meanShiftR.html

Jonathan Lisic

GPL (>= 2)

Depends on

R (>= 3.1.0)

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