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

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

AuthorMatthieu Marbac and Mohammed Sedki
MaintainerMohammed Sedki <[email protected]>
LicenseGPL (>= 2)
Version2.1.3
URL http://varsellcm.r-forge.r-project.org/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("VarSelLCM")

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VarSelLCM documentation built on Aug. 29, 2018, 5:03 p.m.