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 . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.