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:	0.5.4
Depends:	R (≥ 4.0.0)
Imports:	cli, doFuture, 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:	2024-01-09
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_0.5.4.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): tglkmeans_0.5.4.tgz, r-oldrel (arm64): tglkmeans_0.5.4.tgz, r-release (x86_64): tglkmeans_0.5.4.tgz, r-oldrel (x86_64): tglkmeans_0.5.4.tgz
Old sources:	tglkmeans archive

Linking:

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