kmodR
K-Means with Simultaneous Outlier Detection
An implementation of the 'k-means--' algorithm proposed by Chawla and Gionis, 2013 in their paper, "k-means-- : A unified approach to clustering and outlier detection. SIAM International Conference on Data Mining (SDM13)", <doi:10.1137/1.9781611972832.21> and using 'ordering' described by Howe, 2013 in the thesis, Clustering and anomaly detection in tropical cyclones". Useful for creating (potentially) tighter clusters than standard k-means and simultaneously finding outliers inexpensively in multidimensional space.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling linux/jammy R-4.5 | kmodR_0.2.0.tar.gz |
22.4 KiB |
0.2.0 |
rolling linux/noble R-4.5 | kmodR_0.2.0.tar.gz |
22.3 KiB |
0.2.0 |
rolling source/ R- | kmodR_0.2.0.tar.gz |
11.1 KiB |
0.2.0 |
latest linux/jammy R-4.5 | kmodR_0.2.0.tar.gz |
22.4 KiB |
0.2.0 |
latest linux/noble R-4.5 | kmodR_0.2.0.tar.gz |
22.3 KiB |
0.2.0 |
latest source/ R- | kmodR_0.2.0.tar.gz |
11.1 KiB |
0.2.0 |
2026-04-26 source/ R- | kmodR_0.2.0.tar.gz |
11.1 KiB |
0.2.0 |
2026-04-23 source/ R- | kmodR_0.2.0.tar.gz |
11.1 KiB |
0.2.0 |
2026-04-09 windows/windows R-4.5 | kmodR_0.2.0.zip |
24.8 KiB |
0.2.0 |
2025-04-20 source/ R- | kmodR_0.2.0.tar.gz |
11.1 KiB |