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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 |
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 |
Reference manual: | blox.html , blox.pdf |
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): not available, r-release (x86_64): blox_0.0.1.tgz, r-oldrel (x86_64): blox_0.0.1.tgz |
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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.