kmed
Distance-Based k-Medoids
Algorithms of distance-based k-medoids clustering: simple and fast k-medoids, ranked k-medoids, and increasing number of clusters in k-medoids. Calculate distances for mixed variable data such as Gower, Podani, Wishart, Huang, Harikumar-PV, and Ahmad-Dey. Cluster validation applies internal and relative criteria. The internal criteria includes silhouette index and shadow values. The relative criterium applies bootstrap procedure producing a heatmap with a flexible reordering matrix algorithm such as complete, ward, or average linkages. The cluster result can be plotted in a marked barplot or pca biplot.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.4.2 |
rolling linux/jammy R-4.5 | kmed_0.4.2.tar.gz |
275.3 KiB |
0.4.2 |
rolling linux/noble R-4.5 | kmed_0.4.2.tar.gz |
275.4 KiB |
0.4.2 |
rolling source/ R- | kmed_0.4.2.tar.gz |
181.3 KiB |
0.4.2 |
latest linux/jammy R-4.5 | kmed_0.4.2.tar.gz |
275.3 KiB |
0.4.2 |
latest linux/noble R-4.5 | kmed_0.4.2.tar.gz |
275.4 KiB |
0.4.2 |
latest source/ R- | kmed_0.4.2.tar.gz |
181.3 KiB |
0.4.2 |
2026-04-26 source/ R- | kmed_0.4.2.tar.gz |
181.3 KiB |
0.4.2 |
2026-04-23 source/ R- | kmed_0.4.2.tar.gz |
181.3 KiB |
0.4.2 |
2026-04-09 windows/windows R-4.5 | kmed_0.4.2.zip |
275.7 KiB |
0.4.2 |
2025-04-20 source/ R- | kmed_0.4.2.tar.gz |
181.3 KiB |