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Working Group on Model-Based Clustering Summer Session: Athens, October 25-30, 2021

The 27th Summer Working Group on Model-Based Clustering will be held in Athens (Greece) from October 25th to 30th, 2021. It will start with an opening social event on Sunday, sessions in the aftrenoons Monday-Thursday, Friday morning and a hike on the Saturday.

The scientific committee consists this year of Charles Bouveyron, Gilles Celeux, Bettina Grün, Dimitris Karlis Brendan Murphy, Rebecca Nugent, Adrian Raftery and Luca Scrucca.

Venue and accomodations

Information about venue and local accomodations are available here:


Note: Starting from this year, the long talks will be 50 mins + 30 min of discussion, and the short talks will be 15 min + 10 min of discussion. The time schedule has been updated to take into consideration this new format.

Day Time Speaker Title

Monday (C. Bouveyron)
2:30pm - 3:50pm Daniel Sewell Clustering connections: Model-based edge clustering

4:30pm - 6:00pm Marianthi Markatou Poisson Kernel-Based Clustering on the Sphere: Convergence Properties, Identifiability and a Method of Sampling

Tuesday (A. Raftery)
10:30am - 12:30am Poster session

2:30pm - 3:50pm Angela Montanari Random projections of variables and units

4:20pm - 4:45pm Brendan Murphy Parsimonious Bayesian Factor Analysis for modelling latent structures in spectroscopy data

4:45pm - 5:10pm Charles Bouveyron Bayesian Fisher-EM for discriminative subspace clustering

5:10pm - 5:35pm Luca Scrucca Stacking ensemble of Gaussian mixtures for classification

Wednesday (L. Scrucca)
10:30am - 12:30am Software session

2:30pm - 3:50pm Christine Keribin Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach

4:20pm - 4:45pm Bettina Grun Generalized mixtures of finite mixtures and telescoping sampling

4:45pm - 5:10pm Antonio Canale Escaping the curse of dimensionality in model-based clustering

5:10pm - 5:35pm Pierre Latouche Model based greedy clustering

5:35pm - 6:00pm Adrian Raftery Probabilistic Arctic Sea-Ice Forecasting with the Mixture Contour Forecasting Model

Thursday (B. Grün)
2:30pm - 3:50pm Rebecca Nugent TBA

4:20pm - 4:45pm Panagiotis Papastamoulis Model-based clustering of replicated multinomial data

4:45pm - 5:10pm Dimitris Karlis Bayesian Approach for Clustering Skewed Data Using Mixtures of Multivariate Normal-Inverse Gaussian Distributions

5:10pm - 5:35pm Claire Gormley Clustering Longitudinal Life-Course Sequences using Mixtures of Exponential-Distance Models

5:35pm - 6:00pm Pierre-Alexandre Mattei Deep discriminative clustering and generalised mutual information

Friday (D. Karlis)
9:00am - 10:20am Daniel Ahfock Model based approaches to semi-supervised learning

11:00am - 12:20am Fritz Leisch Assessing Stability and Relations of Mixture Model Components

Last updated Sept., 13, 2021.