Package: blox 0.0.1
Jan O. Bauer
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>.
Authors:
blox_0.0.1.tar.gz
blox_0.0.1.tar.gz(r-4.7-arm64)blox_0.0.1.tar.gz(r-4.7-x86_64)blox_0.0.1.tar.gz(r-4.6-arm64)blox_0.0.1.tar.gz(r-4.6-x86_64)
blox_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
blox/json (API)
| # Install 'blox' in R: |
| install.packages('blox', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:1169e5f120. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 115 | ||
| linux-devel-x86_64 | OK | 123 | ||
| source / vignettes | OK | 184 | ||
| linux-release-arm64 | OK | 175 | ||
| linux-release-x86_64 | OK | 121 | ||
| wasm-release | OK | 112 |
Exports:bd.approxhc.betahcsvdis.ultrametric
Dependencies:matrixStatsRcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Two Block Diagonal Matrix Approximation. | bd.approx |
| Compute Revelle's Beta for all worst split-halves using HC-SVD. | hc.beta |
| Hierarchical Clustering Using Singular Vectors (HC-SVD). | hcsvd |
| Ultrametric Distance Property | is.ultrametric |
