Package: blox 0.0.1

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:Jan O. Bauer [aut, cre]

blox_0.0.1.tar.gz
blox_0.0.1.zip(r-4.7)blox_0.0.1.zip(r-4.6)blox_0.0.1.zip(r-4.5)
blox_0.0.1.tgz(r-4.6-x86_64)blox_0.0.1.tgz(r-4.6-arm64)blox_0.0.1.tgz(r-4.5-x86_64)blox_0.0.1.tgz(r-4.5-arm64)
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://janobauer.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/janobauer/blox/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

2.70 score 191 downloads 5 exports 3 dependencies

Last updated from:b9854e0e7f. Checks:11 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING122
linux-devel-x86_64WARNING115
source / vignettesOK155
linux-release-arm64WARNING124
linux-release-x86_64WARNING127
macos-release-arm64WARNING184
macos-release-x86_64WARNING238
macos-oldrel-arm64WARNING278
macos-oldrel-x86_64WARNING331
windows-develWARNING236
windows-releaseWARNING146
windows-oldrelWARNING121
wasm-releaseOK100

Exports:bd.approxhc.betahcsvdis.ultrametrickmeans.svd

Dependencies:matrixStatsRcppRcppArmadillo