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SKNN: A Super K-Nearest Neighbor (SKNN) Classification Algorithm

It's a Super K-Nearest Neighbor classification method with using kernel density to describe weight of the distance between a training observation and the testing sample.

Version: 4.1
Depends: methods, stats
Published: 2024-10-08
DOI: 10.32614/CRAN.package.SKNN
Author: Yarong Yang [aut, cre], Nader Ebrahimi [aut], Yoram Rubin [aut], Jacob Zhang [aut]
Maintainer: Yarong Yang <Yi.YA_yaya at hotmail.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: SKNN results

Documentation:

Reference manual: SKNN.pdf

Downloads:

Package source: SKNN_4.1.tar.gz
Windows binaries: r-devel: SKNN_4.1.zip, r-release: SKNN_4.1.zip, r-oldrel: SKNN_4.1.zip
macOS binaries: r-release (arm64): SKNN_4.1.tgz, r-oldrel (arm64): SKNN_4.1.tgz, r-release (x86_64): SKNN_4.1.tgz, r-oldrel (x86_64): SKNN_4.1.tgz
Old sources: SKNN archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.