LearnClust
Learning Hierarchical Clustering Algorithms
Classical hierarchical clustering algorithms, agglomerative and divisive clustering. Algorithms are implemented as a theoretical way, step by step. It includes some detailed functions that explain each step. Every function allows options to get different results using different techniques. The package explains non expert users how hierarchical clustering algorithms work.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1 |
rolling linux/jammy R-4.5 | LearnClust_1.1.tar.gz |
474.1 KiB |
1.1 |
rolling linux/noble R-4.5 | LearnClust_1.1.tar.gz |
474.3 KiB |
1.1 |
rolling source/ R- | LearnClust_1.1.tar.gz |
291.2 KiB |
1.1 |
latest linux/jammy R-4.5 | LearnClust_1.1.tar.gz |
474.1 KiB |
1.1 |
latest linux/noble R-4.5 | LearnClust_1.1.tar.gz |
474.3 KiB |
1.1 |
latest source/ R- | LearnClust_1.1.tar.gz |
291.2 KiB |
1.1 |
2026-04-26 source/ R- | LearnClust_1.1.tar.gz |
291.2 KiB |
1.1 |
2026-04-23 source/ R- | LearnClust_1.1.tar.gz |
291.2 KiB |
1.1 |
2026-04-09 windows/windows R-4.5 | LearnClust_1.1.zip |
477.7 KiB |
1.1 |
2025-04-20 source/ R- | LearnClust_1.1.tar.gz |
291.2 KiB |