VarSelLCM

Variable Selection for Model-Based Clustering of Mixed-Type Data Set with Missing Values

CRAN Package

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.

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