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FastKNN  

Fast k-Nearest Neighbors
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("FastKNN", "0.0.1")



Attach the package and use:
library("FastKNN")
Maintained by
Gaston Besanson
[Scholar Profile | Author Map]
First Published: 2015-02-12
Latest Update: 2015-02-12
Description:
Compute labels for a test set according to the k-Nearest Neighbors classification. This is a fast way to do k-Nearest Neighbors classification because the distance matrix -between the features of the observations- is an input to the function rather than being calculated in the function itself every time.
How to cite:
Gaston Besanson (2015). FastKNN: Fast k-Nearest Neighbors. R package version 0.0.1, https://cran.r-project.org/web/packages/FastKNN. Accessed 01 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited FastKNN R package
View FastKNN citation profile
Other R packages that FastKNN depends, imports, suggests or enhances
Complete documentation for FastKNN
Functions, R codes and Examples using the FastKNN R package
Some associated functions: Distance_for_KNN_test . k.nearest.neighbors . knn_test_function . knn_training_function . 
Some associated R codes: FastKNN.R .  Full FastKNN package functions and examples
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