Rmixmod: the r package of the model-based unsupervised, supervised, and semi-supervised classification mixmod library

HIGHLIGHTS

• who: Ru00e9mi Lebret et al. from the Universitu00e9 de Technologie have published the Article: Rmixmod: The R Package of the Model-Based Unsupervised, Supervised, and Semi-Supervised Classification Mixmod Library, in the Journal: (JOURNAL)
• what: The authors give an overview of the model-based clustering and methods implemented and the authors show how the R package Rmixmod can be used for clustering and discriminant analysis. The model selection criteria BIC (Bayesian information criterion), ICL (integrated classification likelihood), NEC (normalized entropy criterion), and cross-validation are proposed depending on the modeling purpose (see Section 2.4 . . .
  

   

  

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