README.md
In jlisic/meanShiftR: A Computationally Efficient Mean Shift Implementation
meanShiftR
A Computationally Efficient Mean Shift Implementation
Package: meanShiftR
Type: Package
Version: 0.54
Date: 2019-01-21
Author and Creator:
Jonathan Lisic, jlisic at gmail.com
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: 5.0.1
jlisic/meanShiftR documentation built on Sept. 6, 2021, 8:27 p.m.
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meanShiftR
A Computationally Efficient Mean Shift Implementation
Package: meanShiftR
Type: Package
Version: 0.54
Date: 2019-01-21
Author and Creator: Jonathan Lisic, jlisic at gmail.com
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: 5.0.1
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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