kknn: Weighted k-Nearest Neighbors

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

Install the latest version of this package by entering the following in R:
install.packages("kknn")
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

View on CRAN

Files

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

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

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.