<?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>Hierarchical Modal Clustering</dc:title>
  <dc:title>R package Modalclust version 0.7</dc:title>
  <dc:description>Performs Modal Clustering (MAC) including Hierarchical Modal Clustering (HMAC) along with their parallel implementation (PHMAC) over several processors.  These model-based non-parametric clustering techniques can extract  clusters in very high dimensions with arbitrary density shapes. By default clustering is performed over several resolutions and the results are summarised as a hierarchical tree. Associated plot functions are also provided. There is a package vignette that provides many examples. This version adheres to CRAN policy of not spanning more than two child processes by default.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.14.0), mvtnorm, zoo, class</dc:relation>
  <dc:relation>Suggests: parallel, MASS</dc:relation>
  <dc:creator>Surajit Ray &lt;surajit.ray@glasgow.ac.uk&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Surajit Ray and Yansong Cheng</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2018-11-14</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=Modalclust</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.Modalclust</dc:identifier>
</oai_dc:dc>