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kknn  

Weighted k-Nearest Neighbors
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("kknn", "1.4.0")



Attach the package and use:
library("kknn")
Maintained by
Klaus Schliep
[Scholar Profile | Author Map]
First Published: 2004-11-22
Latest Update: 2016-03-26
Description:
Weighted k-Nearest Neighbors for Classification, Regression and Clustering.
How to cite:
Klaus Schliep (2004). kknn: Weighted k-Nearest Neighbors. R package version 1.4.0, https://cran.r-project.org/web/packages/kknn. Accessed 05 May. 2025.
Previous versions and publish date:
1.0-1 (2004-11-22 10:23), 1.0-4 (2007-09-13 10:47), 1.0-5 (2007-10-11 10:26), 1.0-6 (2008-07-20 18:08), 1.0-7 (2009-07-18 18:12), 1.0-8 (2010-08-05 17:42), 1.0.3 (2006-04-11 16:41), 1.1-1 (2011-10-12 14:09), 1.1-2 (2012-06-22 19:26), 1.2-0 (2012-10-05 17:03), 1.2-1 (2012-10-30 13:24), 1.2-2 (2013-03-13 12:37), 1.2-3 (2013-12-16 12:58), 1.2-4 (2014-02-11 15:23), 1.2-5 (2014-02-11 18:13), 1.3.0 (2015-07-09 18:11), 1.3.1 (2016-03-26 22:02)
Other packages that cited kknn R package
View kknn citation profile
Other R packages that kknn depends, imports, suggests or enhances
Complete documentation for kknn
Functions, R codes and Examples using the kknn R package
Some associated functions: contr.dummy . glass . ionosphere . kknn-deprecated . kknn-package . kknn . miete . specClust . train.kknn . 
Some associated R codes: kknn.R . specClust.R .  Full kknn package functions and examples
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