kknn v1.3.1

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Weighted k-Nearest Neighbors

Weighted k-Nearest Neighbors for Classification, Regression and Clustering.

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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

License

phangorn is licensed under the GPLv2.

Functions in kknn

Name Description
kknn-deprecated Deprecated Functions in Package kknn
specClust Spectral Clustering
glass Glass Identification Database
kknn-package Weighted k-Nearest Neighbors Classification and Clustering
contr.dummy Contrast Matrices
kknn Weighted k-Nearest Neighbor Classifier
ionosphere Johns Hopkins University Ionosphere Database
miete Munich Rent Standard Database (1994)
train.kknn Training kknn
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Details

Date 2016-03-26
ByteCompile TRUE
License GPL (>= 2)
NeedsCompilation yes
URL https://github.com/KlausVigo/kknn
Repository CRAN
Packaged 2016-03-26 18:35:26 UTC; klaus
Date/Publication 2016-03-26 22:02:21

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