<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>A Super K-Nearest Neighbor (SKNN) Classification Algorithm</dc:title>
  <dc:title>R package SKNN version 4.1.3</dc:title>
  <dc:description>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.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: methods, stats</dc:relation>
  <dc:creator>Yarong Yang &lt;Yi.YA_yaya@hotmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Yarong Yang [aut, cre],
  Nader Ebrahimi [ctb],
  Yoram Rubin [ctb],
  Jacob Zhang [ctb]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2026-02-08</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=SKNN</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.SKNN</dc:identifier>
</oai_dc:dc>