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meanShiftR  

A Computationally Efficient Mean Shift Implementation
View on CRAN: Click here


Download and install meanShiftR package within the R console
Install from CRAN:
install.packages("meanShiftR")

Install from Github:
library("remotes")
install_github("cran/meanShiftR")

Install by package version:
library("remotes")
install_version("meanShiftR", "0.56")



Attach the package and use:
library("meanShiftR")
Maintained by
Jonathan Lisic
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-08-31
Latest Update: 2021-09-21
Description:
Performs mean shift classification using linear and k-d tree based nearest neighbor implementations for the Gaussian, Epanechnikov, and biweight product kernels.
How to cite:
Jonathan Lisic (2016). meanShiftR: A Computationally Efficient Mean Shift Implementation. R package version 0.56, https://cran.r-project.org/web/packages/meanShiftR. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.50 (2016-08-31 14:31), 0.51 (2017-09-05 10:30), 0.52 (2018-06-25 16:28), 0.53 (2018-12-03 21:50)
Other packages that cited meanShiftR R package
View meanShiftR citation profile
Other R packages that meanShiftR depends, imports, suggests or enhances
Complete documentation for meanShiftR
Functions, R codes and Examples using the meanShiftR R package
Some associated functions: knn_meanShift . meanShift . 
Some associated R codes: knn.R . meanShift.R . meanShiftR-internal.R .  Full meanShiftR package functions and examples
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