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: 3.1
Depends: methods, stats
Published: 2022-06-11
Author: Yi Ya [aut, cre], Nader Ebrahimi [aut], Yoram Rubin [aut], Jacob Zhang [aut]
Maintainer: Yi Ya <Yi.YA_yaya at>
License: GPL-2
NeedsCompilation: no
CRAN checks: SKNN results


Reference manual: SKNN.pdf


Package source: SKNN_3.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SKNN_3.1.tgz, r-oldrel (arm64): SKNN_3.1.tgz, r-release (x86_64): SKNN_3.1.tgz, r-oldrel (x86_64): SKNN_3.1.tgz
Old sources: SKNN archive


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