A Super K-Nearest Neighbor (SKNN) Classification Algorithm [R package SKNN version 4.1]

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

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