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GridOnClusters: Cluster-Preserving Multivariate Joint Grid Discretization
Discretize multivariate continuous data using a grid that captures the joint distribution via preserving clusters in the original data (Wang et al 2020) <doi:10.1145/3388440.3412415>. Joint grid discretization is applicable as a data transformation step to prepare data for model-free inference of association, function, or causality.
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Package details |
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| Author | Jiandong Wang [aut], Sajal Kumar [aut] (ORCID: <https://orcid.org/0000-0003-0930-1582>), Joe Song [aut, cre] (ORCID: <https://orcid.org/0000-0002-6883-6547>) |
| Maintainer | Joe Song <joemsong@nmsu.edu> |
| License | LGPL (>= 3) |
| Version | 0.1.0.2 |
| Package repository | View on CRAN |
| Installation |
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