<?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>Fast Implementations of Kernel K-Means</dc:title>
  <dc:title>R package kkmeans version 0.1.3</dc:title>
  <dc:description>Implementations several algorithms for kernel k-means. The default
  'OTQT' algorithm is a fast alternative to standard implementations of kernel
  k-means, particularly in cases with many clusters. For a small number of
  clusters, the implemented 'MacQueen' method typically performs the fastest. For
  more details and performance evaluations, see Berlinski and Maitra (2025) &lt;doi:10.1002/sam.70032&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: Rcpp</dc:relation>
  <dc:relation>LinkingTo: Rcpp</dc:relation>
  <dc:creator>Josh Berlinski &lt;jdberlinski@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Josh Berlinski [aut, cre]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2026-02-01</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=kkmeans</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.kkmeans</dc:identifier>
</oai_dc:dc>
