<?xml version="1.0"?>
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 <rdf:Description>
  <dc:title>Gaussian Mixture Modeling algorithms. Including the belief-based
mixture modeling</dc:title>
  <dc:subject>CRAN Task View: Cluster (http://CRAN.R-project.org/view=Cluster)</dc:subject>
  <dc:description>The bgmm package implements two partially supervised
mixture modeling methods: soft-label and belief-based modeling.
For completeness, we equipped the package also with the
functionality of unsupervised, semi- and fully supervised
mixture modeling.  The package can be applied also to selection
of the best-fitting from a set of models with different
component numbers or constraints on their structures.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.0), mvtnorm, car, lattice, combinat</dc:relation>
  <dc:creator>Przemyslaw Biecek &lt;P.Biecek@mimuw.edu.pl&gt;</dc:creator>
  <dc:contributor>Przemyslaw Biecek \&amp; Ewa Szczurek</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2012-03-29</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>http://CRAN.R-project.org/package=bgmm</dc:identifier>
 </rdf:Description>
</rdf:RDF>

