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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.6.1 |
rolling linux/jammy R-4.5 | tglkmeans_0.6.1.tar.gz |
189.6 KiB |
0.6.1 |
rolling linux/noble R-4.5 | tglkmeans_0.6.1.tar.gz |
192.1 KiB |
0.6.1 |
rolling source/ R- | tglkmeans_0.6.1.tar.gz |
68.4 KiB |
0.6.1 |
latest linux/jammy R-4.5 | tglkmeans_0.6.1.tar.gz |
189.6 KiB |
0.6.1 |
latest linux/noble R-4.5 | tglkmeans_0.6.1.tar.gz |
192.1 KiB |
0.6.1 |
latest source/ R- | tglkmeans_0.6.1.tar.gz |
68.4 KiB |
0.6.1 |
2026-04-26 source/ R- | tglkmeans_0.6.1.tar.gz |
68.4 KiB |
0.6.1 |
2026-04-23 source/ R- | tglkmeans_0.6.1.tar.gz |
68.4 KiB |
0.5.5 |
2025-04-20 source/ R- | tglkmeans_0.5.5.tar.gz |
106.2 KiB |