tglkmeans: Efficient Implementation of K-Means++ Algorithm (original) (raw)
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: | 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 |
| URL: | https://tanaylab.github.io/tglkmeans/,https://github.com/tanaylab/tglkmeans |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Materials: | README, NEWS |
| CRAN checks: | tglkmeans results |
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