22 citations · 26 across the 2 of their papers we have counts for
2 papers
stat.ME2023★ 4 cited
An introduction and tutorial to model-based clustering in education via Gaussian mixture modelling
Luca Scrucca, Mohammed Saqr, Sonsoles López-Pernas +1
Heterogeneity has been a hot topic in recent educational literature. Several calls have been voiced to adopt methods that capture different patterns or subgroups within students be…
stat.CO2014★ 22 cited
clustvarsel: A Package Implementing Variable Selection for Model-based Clustering in R
Luca Scrucca, Adrian E. Raftery
Finite mixture modelling provides a framework for cluster analysis based on parsimonious Gaussian mixture models. Variable or feature selection is of particular importance in situa…