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
Author:	Dmitriy Bolotov [aut, cre], Software AG [cph]
Maintainer:	Dmitriy Bolotov <dmitriy.bolotov at softwareag.com>
License:	GPL (≥ 2.1)
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	neighbr results

Documentation:

Reference manual:	neighbr.pdf
Vignettes:	Neighbr Help

Downloads:

Package source:	neighbr_1.0.3.tar.gz
Windows binaries:	r-devel: neighbr_1.0.3.zip, r-release: neighbr_1.0.3.zip, r-oldrel: neighbr_1.0.3.zip
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

Linking:

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