VarSelLCM: Variable Selection for Model-Based Clustering of Mixed-Type Data Set with Missing Values
Version 2.1.1

Full model selection (detection of the relevant features and estimation of the number of clusters) for model-based clustering (see reference here ). 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

AuthorMatthieu Marbac and Mohammed Sedki
Date of publication2018-04-12 08:42:00 UTC
MaintainerMohammed Sedki <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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VarSelLCM documentation built on April 12, 2018, 9:03 a.m.