summary

summary,VSLCMresults-method

This function gives the summary of an instance of <code>VSLCMresults</code>.

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.

Mohammed Sedki

VarSelLCM

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

Matthieu Marbac

summary function

<dl><dt>object</dt>
<dd>instance of <code>VSLCMresults</code>.</dd></dl>

Arguments

Summary function. — summary

<dl>

<dt>object</dt>
<dd>instance of <code>VSLCMresults</code>.</dd>

</dl>

summary: Summary function.

Description

Usage

Arguments