R-package for "Interpretable Clustering using Unsupervised Binary Trees"

B. Ghattas, M. Svarc, R. Fraiman, P. Michel

Download actual version cubt_3.3 for windows, for Linux.

## Last version : cubt_3.3 delivered on 23th of July 2020

Minor modifications :
- The function opt.minsize() has two more arguments; criterion and prof (depth).
- The mindev stopping rule in cubt function is now exactly compatible with the original paper description.
- The crit() function was modified to return zero value when there is only one observation in the data matrix
- The computation of distances in the pruning function has been paralllelized for continuous data

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**Badih GHATTAS** Maître de conférence à l'Université d'Aix-Marseille Département de Mathématiques, Faculté des Sciences (Campus de Luminy)