iClusterVB
Fast Integrative Clustering and Feature Selection for High Dimensional Data
A variational Bayesian approach for fast integrative clustering and feature selection, facilitating the analysis of multi-view, mixed type, high-dimensional datasets with applications in fields like cancer research, genomics, and more.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.4 |
rolling source/ R- | iClusterVB_0.1.4.tar.gz |
2.4 MiB |
0.1.4 |
rolling linux/jammy R-4.5 | iClusterVB_0.1.4.tar.gz |
2.6 MiB |
0.1.4 |
rolling linux/noble R-4.5 | iClusterVB_0.1.4.tar.gz |
2.6 MiB |
0.1.4 |
latest source/ R- | iClusterVB_0.1.4.tar.gz |
2.4 MiB |
0.1.4 |
latest linux/jammy R-4.5 | iClusterVB_0.1.4.tar.gz |
2.6 MiB |
0.1.4 |
latest linux/noble R-4.5 | iClusterVB_0.1.4.tar.gz |
2.6 MiB |
0.1.4 |
2026-04-26 source/ R- | iClusterVB_0.1.4.tar.gz |
2.4 MiB |
0.1.4 |
2026-04-23 source/ R- | iClusterVB_0.1.4.tar.gz |
2.4 MiB |
0.1.4 |
2026-04-09 windows/windows R-4.5 | iClusterVB_0.1.4.zip |
3.0 MiB |
0.1.4 |
2025-04-20 source/ R- | iClusterVB_0.1.4.tar.gz |
2.4 MiB |