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knn.covertree  

An Accurate kNN Implementation with Multiple Distance Measures
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/knn.covertree")

Install by package version:
library("remotes")
install_version("knn.covertree", "1.0")



Attach the package and use:
library("knn.covertree")
Maintained by
Philipp Angerer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-10-28
Latest Update: 2019-10-28
Description:
Similarly to the 'FNN' package, this package allows calculation of the k nearest neighbors (kNN) of a data matrix. The implementation is based on cover trees introduced by Alina Beygelzimer, Sham Kakade, and John Langford (2006) .
How to cite:
Philipp Angerer (2019). knn.covertree: An Accurate kNN Implementation with Multiple Distance Measures. R package version 1.0, https://cran.r-project.org/web/packages/knn.covertree. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
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Complete documentation for knn.covertree
Functions, R codes and Examples using the knn.covertree R package
Some associated functions: knn.covertree-package . knn . 
Some associated R codes: RcppExports.R .  Full knn.covertree package functions and examples
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