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: 1.0.3
Depends: R (≥ 3.3.0)
Suggests: testthat, knitr, rmarkdown, mlbench
Published: 2020-03-19
DOI: 10.32614/CRAN.package.neighbr
Author: Dmitriy Bolotov [aut, cre], Software AG [cph]
Maintainer: Dmitriy Bolotov <dmitriy.bolotov at>
License: GPL (≥ 2.1)
NeedsCompilation: no
Materials: NEWS
CRAN checks: neighbr results


Reference manual: neighbr.pdf
Vignettes: Neighbr Help


Package source: neighbr_1.0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): neighbr_1.0.3.tgz, r-oldrel (arm64): neighbr_1.0.3.tgz, r-release (x86_64): neighbr_1.0.3.tgz, r-oldrel (x86_64): neighbr_1.0.3.tgz
Old sources: neighbr archive

Reverse dependencies:

Reverse suggests: pmml


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