Package: lowmemtkmeans 0.1.4

lowmemtkmeans: Low Memory Use Trimmed K-Means

Performs the trimmed k-means clustering algorithm with lower memory use. It also provides a number of utility functions such as BIC calculations.

Authors:Andrew Thomas Jones [aut, cre], Hien Duy Nguyen [aut]

lowmemtkmeans_0.1.4.tar.gz
lowmemtkmeans_0.1.4.zip(r-4.7-x86_64)lowmemtkmeans_0.1.4.zip(r-4.7-arm64)lowmemtkmeans_0.1.4.zip(r-4.6-x86_64)lowmemtkmeans_0.1.4.zip(r-4.6-arm64)lowmemtkmeans_0.1.4.zip(r-4.5-x86_64)
lowmemtkmeans_0.1.4.tgz(r-4.6-x86_64)lowmemtkmeans_0.1.4.tgz(r-4.6-arm64)lowmemtkmeans_0.1.4.tgz(r-4.5-x86_64)lowmemtkmeans_0.1.4.tgz(r-4.5-arm64)
lowmemtkmeans_0.1.4.tar.gz(r-4.7-arm64)lowmemtkmeans_0.1.4.tar.gz(r-4.7-x86_64)lowmemtkmeans_0.1.4.tar.gz(r-4.6-arm64)lowmemtkmeans_0.1.4.tar.gz(r-4.6-x86_64)
lowmemtkmeans_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
lowmemtkmeans/json (API)

# Install 'lowmemtkmeans' in R:
install.packages('lowmemtkmeans', repos = c('https://andrewthomasjones.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/andrewthomasjones/lowmemtkmeans/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

3.65 score 3 packages 9 scripts 269 downloads 4 exports 2 dependencies

Last updated from:a65b94ce09. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK135
linux-devel-x86_64OK126
source / vignettesOK186
linux-release-arm64OK141
linux-release-x86_64OK122
macos-release-arm64OK101
macos-release-x86_64OK182
macos-oldrel-arm64OK92
macos-oldrel-x86_64OK245
windows-devel-arm64OK186
windows-devel-x86_64OK136
windows-release-arm64OK216
windows-release-x86_64OK94
windows-oldrel-x86_64OK89
wasm-releaseOK121

Exports:cluster_BICnearest_clusterscale_mat_inplacetkmeans

Dependencies:RcppRcppArmadillo