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 [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:
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