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.
|Author||Matthieu Marbac and Mohammed Sedki|
|Maintainer||Mohammed Sedki <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on R-Forge|
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