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SKNN  

A Super K-Nearest Neighbor (SKNN) Classification Algorithm
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SKNN", "4.1")



Attach the package and use:
library("SKNN")
Maintained by
Yarong Yang
[Scholar Profile | Author Map]
First Published: 2021-11-23
Latest Update: 2022-06-11
Description:
It's a Super K-Nearest Neighbor classification method with using kernel density to describe weight of the distance between a training observation and the testing sample.
How to cite:
Yarong Yang (2021). SKNN: A Super K-Nearest Neighbor (SKNN) Classification Algorithm. R package version 4.1, https://cran.r-project.org/web/packages/SKNN. Accessed 24 Apr. 2025.
Previous versions and publish date:
1.0 (2021-11-23 20:30), 2.0 (2021-11-27 17:10), 3.0 (2022-01-19 12:12), 3.1 (2022-06-11 19:00), 4.0 (2024-09-25 11:10)
Other packages that cited SKNN R package
View SKNN citation profile
Other R packages that SKNN depends, imports, suggests or enhances
Complete documentation for SKNN
Functions, R codes and Examples using the SKNN R package
Some associated functions: Dist . KNN . PCAy . PCAyd-class . SKNN-package . SKNN . 
Some associated R codes: AllClasses.R . Dist.R . KNN.R . PCAy.R . SKNN.R .  Full SKNN package functions and examples
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