<?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>Quantile-Based Clustering Algorithms</dc:title>
  <dc:title>R package QuClu version 1.0.1</dc:title>
  <dc:subject>CRAN Task View: Cluster (https://CRAN.R-project.org/view=Cluster)</dc:subject>
  <dc:description>Various quantile-based clustering algorithms: algorithm CU (Common theta and Unscaled variables), algorithm CS (Common theta and Scaled variables through lambda_j), algorithm VU (Variable-wise theta_j and Unscaled variables) and algorithm VW (Variable-wise theta_j and Scaled variables through lambda_j). Hennig, C., Viroli, C., Anderlucci, L. (2019) "Quantile-based clustering." Electronic Journal of Statistics. 13 (2) 4849 - 4883  &lt;doi:10.1214/19-EJS1640&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: stats</dc:relation>
  <dc:creator>Laura Anderlucci &lt;laura.anderlucci@unibo.it&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Christian Hennig, Cinzia Viroli and Laura Anderlucci</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2022-05-26</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=QuClu</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.QuClu</dc:identifier>
</oai_dc:dc>