Model-Based clustering with Missing Data

The Advanced Foundations of Statistics course project aims to replicate the simulation outlined in the "Model-Based Clustering and Outlier Detection with Missing Data (MAR)" paper by Cristina Tortora and Hung Tong. We will utilize the 'MixtureMissing' package for this task and apply it to a real-world dataset, specifically the 'Music-Genre' dataset obtained from the Spotify API. Clustering will be performed using the Multivariate Contaminated Normal Mixture (MCNM) model.

Team Member:

• Edoardo Protti (@edoardo-p)
• Ayoube Ighissou (@ayoubighissou99)