Clearly, there’s no such thing as a “reticulated mixture model” but if you create one I’ll gladly take credit for the name. Instead this post is a demonstration of using mixture models for clustering and the interplay of R and Python via RStudio’s reticulate package.
Mixture Model Basics The idea behind mixture models is that you have data containing information from two (or more) subgroups and you want to uncover structure of the subgroups.