neighbr: Classification, Regression, Clustering with K Nearest Neighbors

Classification, regression, and clustering with k nearest neighbors algorithm. Implements several distance and similarity measures, covering continuous and logical features. Outputs ranked neighbors. Most features of this package are directly based on the PMML specification for KNN.

Version: 1.0
Depends: R (≥ 3.3.0)
Suggests: testthat, knitr, rmarkdown, mlbench
Published: 2017-02-23
Author: Dmitriy Bolotov [aut, cre], Zementis Inc [cph]
Maintainer: Dmitriy Bolotov <dmitriy.bolotov at softwareag.com>
License: GPL (≥ 2.1)
NeedsCompilation: no
CRAN checks: neighbr results

Downloads:

Reference manual: neighbr.pdf
Vignettes: Neighbr Help
Package source: neighbr_1.0.tar.gz
Windows binaries: r-devel: neighbr_1.0.zip, r-release: neighbr_1.0.zip, r-oldrel: neighbr_1.0.zip
OS X El Capitan binaries: r-release: neighbr_1.0.tgz
OS X Mavericks binaries: r-oldrel: neighbr_1.0.tgz

Reverse dependencies:

Reverse suggests: pmml

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