Groupe d’études et de recherche en analyse des décisions

Clustering: An optimization perspective

Daniel Aloise Professeur adjoint, Département de génie informatique et génie logiciel, 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.

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