Gaussian Mixture Models for Model-Based Clustering, Classification, and Density Estimation

PhD course

Dottorato in Matematica Informatica e Statistica (UniFI, UniPG, INdAM)
Dottorato in Economia (UniPG)

Contents

• Finite mixture models
• Gaussian mixture models
• MLE via EM algorithm
• mclust R package
• Model-based clustering
• Model selection
• Classification using Gaussian mixture models
• Density estimation via finite mixture modelling
• Semi-supervised learning

Course schedule

• 25 Mar 2024 from 12:30 to 14:30
• 26 Mar 2024 from 10:30 to 12:30
• 27 Mar 2024 from 08:30 to 10:30
• 10 Apr 2024 from 12:30 to 14:30
• 11 Apr 2024 from 10:30 to 12:30
• 12 Apr 2024 from 08:30 to 10:30

Class slides (pwd protected).