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: | 0.6.1 |
| Depends: | R (≥ 4.0.0) |
| Imports: | cli (≥ 3.0.0), doFuture, dplyr (≥ 0.5.0), future, magrittr, Matrix, methods, parallel (≥ 3.3.2), purrr (≥ 0.2.0), Rcpp (≥ 0.12.11), RcppParallel, tgstat (≥ 1.0.0), tibble (≥ 3.1.2) |
| LinkingTo: | Rcpp, RcppParallel |
| Suggests: | covr, ggplot2 (≥ 2.2.0), knitr, rlang, rmarkdown, testthat, withr |
| OS_type: | unix |
| Published: | 2026-03-04 |
| DOI: | 10.32614/CRAN.package.tglkmeans |
| 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 |
| Materials: | README, NEWS |
| CRAN checks: | tglkmeans results |
| Reference manual: | tglkmeans.html , tglkmeans.pdf |
| Vignettes: |
usage (source, R code) |
| Package source: | tglkmeans_0.6.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): tglkmeans_0.6.1.tgz, r-oldrel (arm64): tglkmeans_0.6.1.tgz, r-release (x86_64): tglkmeans_0.6.1.tgz, r-oldrel (x86_64): tglkmeans_0.6.1.tgz |
| Old sources: | tglkmeans archive |
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