<?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>Block Diagonal Matrix Approximation</dc:title>
  <dc:title>R package blox version 0.0.1</dc:title>
  <dc:description>Finds the best block diagonal matrix approximation of a symmetric matrix. This can be exploited for divisive hierarchical clustering using singular vectors, named HC-SVD. The method is described in Bauer (202Xa) &lt;doi:10.48550/arXiv.2308.06820&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: matrixStats, Rcpp, RcppArmadillo</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo</dc:relation>
  <dc:relation>Suggests: corrplot, knitr, psych, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Jan O. Bauer &lt;j.bauer@vu.nl&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Jan O. Bauer [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0001-7123-4507&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2025-09-30</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=blox</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.blox</dc:identifier>
</oai_dc:dc>