kknn: Weighted k-Nearest Neighbors

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

AuthorKlaus Schliep [aut, cre], Klaus Hechenbichler [aut], Antoine Lizee [ctb]
Date of publication2016-03-26 22:02:21
MaintainerKlaus Schliep <klaus.schliep@gmail.com>
LicenseGPL (>= 2)
Version1.3.1
https://github.com/KlausVigo/kknn

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Files in this package

kknn
kknn/inst
kknn/inst/doc
kknn/inst/doc/paper399.ps
kknn/inst/doc/paper399.pdf
kknn/src
kknn/src/dm.c
kknn/NAMESPACE
kknn/NEWS
kknn/data
kknn/data/glass.RData
kknn/data/ionosphere.RData
kknn/data/miete.RData
kknn/R
kknn/R/specClust.R kknn/R/kknn.R
kknn/README.md
kknn/MD5
kknn/DESCRIPTION
kknn/man
kknn/man/miete.Rd kknn/man/kknn.Rd kknn/man/contr.dummy.Rd kknn/man/specClust.Rd kknn/man/train.kknn.Rd kknn/man/ionosphere.Rd kknn/man/kknn-deprecated.Rd kknn/man/glass.Rd kknn/man/kknn-package.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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