https://github.com/klausvigo/kknn
Weighted k-Nearest Neighbors
https://github.com/klausvigo/kknn
nearest-neighbor r
Last synced: 6 months ago
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Weighted k-Nearest Neighbors
- Host: GitHub
- URL: https://github.com/klausvigo/kknn
- Owner: KlausVigo
- Created: 2015-04-19T19:55:10.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2021-05-31T12:43:29.000Z (over 4 years ago)
- Last Synced: 2025-03-22T15:02:13.078Z (7 months ago)
- Topics: nearest-neighbor, r
- Language: R
- Homepage: http://klausvigo.github.io/kknn/
- Size: 1.04 MB
- Stars: 23
- Watchers: 4
- Forks: 11
- Open Issues: 16
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
[](https://github.com/KlausVigo/kknn/actions)
[](https://cran.r-project.org/package=kknn)
[](http://www.gnu.org/licenses/gpl-2.0.html)
[](https://cran.r-project.org/package=kknn)
[](http://depsy.org/package/r/kknn)
[](https://codecov.io/gh/KlausVigo/kknn)
[](https://coveralls.io/github/KlausVigo/kknn?branch=master)kknn
========================================================kknn is a R package for Weighted k-Nearest Neighbors Classification, Regression and Clustering.
You can install
- the latest released version `install.packages("kknn")`
- the latest development version `devtools::install_github("KlausVigo/kknn")`If you use kknn please cite:
[Hechenbichler K. and Schliep K.P. (2004) Weighted k-Nearest-Neighbor Techniques and Ordinal Classification, Discussion Paper 399, SFB 386, Ludwig-Maximilians University Munich](https://doi.org/10.5282/ubm/epub.1769)
License
-------
kknn is licensed under the GPLv2.