<?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>Calculation of the OPTICS Cordillera</dc:title>
  <dc:title>R package cordillera version 1.0-3</dc:title>
  <dc:description>Functions for calculating the OPTICS Cordillera. The OPTICS Cordillera measures the amount of 'clusteredness' in a numeric data matrix within a distance-density based framework for a given minimum number of points comprising a cluster, as described in Rusch, Hornik, Mair (2018) &lt;doi:10.1080/10618600.2017.1349664&gt;. We provide an R native version with methods for printing, summarizing, and plotting the result. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.1.2),</dc:relation>
  <dc:relation>Imports: dbscan</dc:relation>
  <dc:relation>Suggests: cluster, scatterplot3d, MASS, R.rsp</dc:relation>
  <dc:creator>Thomas Rusch &lt;thomas.rusch@wu.ac.at&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Thomas Rusch [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-7773-2096&gt;),
  Patrick Mair [ctb] (ORCID: &lt;https://orcid.org/0000-0003-0100-6511&gt;),
  Kurt Hornik [ctb] (ORCID: &lt;https://orcid.org/0000-0003-4198-9911&gt;)</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2024-09-22</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=cordillera</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.cordillera</dc:identifier>
</oai_dc:dc>
