GridOnClusters
Multivariate Joint Grid Discretization
Discretize multivariate continuous data using a grid to capture the joint distribution that preserves clusters in original data. It can handle both labeled or unlabeled data. Both published methods (Wang et al 2020) <doi:10.1145/3388440.3412415> and new methods are included. Joint grid discretization can prepare data for model-free inference of association, function, or causality.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.2 |
rolling linux/jammy R-4.5 | GridOnClusters_0.3.2.tar.gz |
2.2 MiB |
0.3.2 |
rolling linux/noble R-4.5 | GridOnClusters_0.3.2.tar.gz |
2.2 MiB |
0.3.2 |
rolling source/ R- | GridOnClusters_0.3.2.tar.gz |
2.0 MiB |
0.3.2 |
latest linux/jammy R-4.5 | GridOnClusters_0.3.2.tar.gz |
2.2 MiB |
0.3.2 |
latest linux/noble R-4.5 | GridOnClusters_0.3.2.tar.gz |
2.2 MiB |
0.3.2 |
latest source/ R- | GridOnClusters_0.3.2.tar.gz |
2.0 MiB |
0.3.2 |
2026-04-26 source/ R- | GridOnClusters_0.3.2.tar.gz |
2.0 MiB |
0.3.2 |
2026-04-23 source/ R- | GridOnClusters_0.3.2.tar.gz |
2.0 MiB |
0.3.2 |
2026-04-09 windows/windows R-4.5 | GridOnClusters_0.3.2.zip |
2.5 MiB |
0.1.0.1 |
2025-04-20 source/ R- | GridOnClusters_0.1.0.1.tar.gz |
815.6 KiB |