<?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>Evaluation Clustering Methods for Disease Subtypes Diagnosis</dc:title>
  <dc:title>R package Evacluster version 0.1.0</dc:title>
  <dc:description>Contains a set of clustering methods and evaluation metrics to select the best number of the clusters based on clustering stability. Two references describe the methodology: Fahimeh Nezhadmoghadam, and Jose Tamez-Pena (2021)&lt;doi:10.1016/j.compbiomed.2021.104753&gt;, and Fahimeh Nezhadmoghadam, et al.(2021)&lt;doi:10.2174/1567205018666210831145825&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Suggests: mlbench,EMCluster,inaparc,ppclust,FRESA.CAD,MASS,stats,class,NMF,cluster,Rtsne,proxy,uwot,mclust,graphics</dc:relation>
  <dc:creator>Fahimeh Nezhadmoghadam &lt;f.nejad.moghadam@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Fahimeh Nezhadmoghadam,Jose Gerardo Tamez-Pena</dc:contributor>
  <dc:rights>LGPL (&gt;= 2)</dc:rights>
  <dc:date>2022-04-01</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=Evacluster</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.Evacluster</dc:identifier>
</oai_dc:dc>