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: |
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 |
| SystemRequirements: |
GNU make |
| Materials: |
README NEWS |
| CRAN checks: |
tglkmeans results |
Documentation:
Downloads:
Linking:
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