Back to activities
GERAD seminar

Clustering: An optimization perspective


May 30, 2017   10:45 AM — 12:00 PM

Daniel Aloise Assistant Professor, Department of Computer Engineering, Polytechnique Montréal, Canada

Clustering is one of the main tasks in unsupervised machine learning. It consists in finding groups in the data so that the overall similarity among data records in the same group is maximized. In this talk, I present how the clustering problem can be approached by the most diverse exact and heuristic optimization techniques, in contexts as real-time decision-making and Big Data.

Click here to view the presentation.

Free entrance.
Welcome to everyone!

Guy Desaulniers organizer


Room 4488
André-Aisenstadt Building
Université de Montréal Campus
2920, chemin de la Tour Montréal QC H3T 1J4 Canada

Research Axes