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blox: Block Diagonal Matrix Approximation

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) <doi:10.48550/arXiv.2308.06820>.

Version: 0.0.1
Imports: matrixStats, Rcpp, RcppArmadillo
LinkingTo: Rcpp, RcppArmadillo
Suggests: corrplot, knitr, psych, testthat (≥ 3.0.0)
Published: 2025-09-30
DOI: 10.32614/CRAN.package.blox
Author: Jan O. Bauer ORCID iD [aut, cre]
Maintainer: Jan O. Bauer <j.bauer at vu.nl>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README
CRAN checks: blox results

Documentation:

Reference manual: blox.html , blox.pdf

Downloads:

Package source: blox_0.0.1.tar.gz
Windows binaries: r-devel: blox_0.0.1.zip, r-release: blox_0.0.1.zip, r-oldrel: blox_0.0.1.zip
macOS binaries: r-release (arm64): blox_0.0.1.tgz, r-oldrel (arm64): blox_0.0.1.tgz, r-release (x86_64): blox_0.0.1.tgz, r-oldrel (x86_64): blox_0.0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=blox to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.