A Super K-Nearest Neighbor (SKNN) Classification Algorithm [R package SKNN version 4.1.2]

Yarong Yang

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

It's a Super K-Nearest Neighbor(SKNN) classification method with using kernel density to describe weight of the distance between a training observation and the testing sample. Comparison of performance between SKNN and KNN shows that SKNN is significantly superior to KNN.

Version:	4.1.2
Depends:	methods, stats
Published:	2025-09-18
DOI:	10.32614/CRAN.package.SKNN
Author:	Yarong Yang [aut, cre], Nader Ebrahimi [ctb], Yoram Rubin [ctb], Jacob Zhang [ctb]
Maintainer:	Yarong Yang <Yi.YA_yaya at hotmail.com>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	SKNN results

Documentation:

Reference manual:

SKNN.html , SKNN.pdf

Downloads:

Package source:	SKNN_4.1.2.tar.gz
Windows binaries:	r-devel: SKNN_4.1.2.zip, r-release: SKNN_4.1.2.zip, r-oldrel: SKNN_4.1.2.zip
macOS binaries:	r-release (arm64): SKNN_4.1.2.tgz, r-oldrel (arm64): SKNN_4.1.2.tgz, r-release (x86_64): SKNN_4.1.2.tgz, r-oldrel (x86_64): SKNN_4.1.2.tgz
Old sources:	SKNN archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SKNN to link to this page.