tglkmeans: Efficient Implementation of K-Means++ Algorithm

Efficient implementation of K-Means++ algorithm. For more information see (1) "kmeans++ the advantages of the k-means++ algorithm" by David Arthur and Sergei Vassilvitskii (2007), Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms, Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, pp. 1027-1035, and (2) "The Effectiveness of Lloyd-Type Methods for the k-Means Problem" by Rafail Ostrovsky, Yuval Rabani, Leonard J. Schulman and Chaitanya Swamy <doi:10.1145/2395116.2395117>.

Version: 0.5.5
Depends: R (≥ 4.0.0)
Imports: cli, doFuture, doRNG, dplyr (≥ 0.5.0), future, ggplot2 (≥ 2.2.0), magrittr, Matrix, methods, parallel (≥ 3.3.2), plyr (≥ 1.8.4), purrr (≥ 0.2.0), Rcpp (≥ 0.12.11), RcppParallel, tgstat (≥ 1.0.0), tibble (≥ 3.1.2)
LinkingTo: Rcpp, RcppParallel
Suggests: covr, knitr, rlang, rmarkdown, testthat, withr
OS_type: unix
Published: 2024-05-15
DOI: NA
Author: Aviezer Lifshitz [aut, cre], Amos Tanay [aut], Weizmann Institute of Science [cph]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz at weizmann.ac.il>
BugReports: https://github.com/tanaylab/tglkmeans/issues
License: MIT + file LICENSE
URL: https://tanaylab.github.io/tglkmeans/, https://github.com/tanaylab/tglkmeans
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README NEWS
CRAN checks: tglkmeans results

Documentation:

Reference manual: tglkmeans.pdf
Vignettes: usage

Downloads:

Package source: tglkmeans_0.5.5.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): tglkmeans_0.5.5.tgz, r-oldrel (arm64): tglkmeans_0.5.5.tgz, r-release (x86_64): tglkmeans_0.5.5.tgz, r-oldrel (x86_64): tglkmeans_0.5.5.tgz
Old sources: tglkmeans archive

Linking:

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