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Full model selection (detection of the relevant features and estimation of the number of clusters) for model-based clustering (see reference here <doi:10.1007/s11222-016-9670-1>). Data to analyze can be continuous, categorical, integer or mixed. Moreover, missing values can occur and do not necessitate any pre-processing. Shiny application permits an easy interpretation of the results.
Package details |
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Author | Matthieu Marbac and Mohammed Sedki |
Maintainer | Mohammed Sedki <mohammed.sedki@u-psud.fr> |
License | GPL (>= 2) |
Version | 2.1.4 |
URL | http://varsellcm.r-forge.r-project.org/ |
Package repository | View on R-Forge |
Installation |
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