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, <http://ilpubs.stanford.edu:8090/778/1/2006-13.pdf>, 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: |
0.3.5 |
| Depends: |
R (≥ 3.2.4) |
| Imports: |
Rcpp (≥ 0.12.11), doFuture, future, dplyr (≥ 0.5.0), ggplot2 (≥ 2.2.0), magrittr, tibble, parallel (≥ 3.3.2), plyr (≥
1.8.4), purrr (≥ 0.2.0), tgstat (≥ 1.0.0) |
| LinkingTo: |
Rcpp |
| Suggests: |
covr, knitr, rlang, rmarkdown, testthat, withr |
| OS_type: |
unix |
| Published: |
2022-08-28 |
| 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 |
| NeedsCompilation: |
yes |
| SystemRequirements: |
C++11 |
| Materials: |
README NEWS |
| CRAN checks: |
tglkmeans results |
Documentation:
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