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cs.LG2021
Semi-Supervised Clustering with Inaccurate Pairwise Annotations
Daniel Gribel, Michel Gendreau, Thibaut Vidal
Pairwise relational information is a useful way of providing partial supervision in domains where class labels are difficult to acquire. This work presents a clustering model that…
cs.LG2018
HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares clustering
Daniel Gribel, Thibaut Vidal
Minimum sum-of-squares clustering (MSSC) is a widely used clustering model, of which the popular K-means algorithm constitutes a local minimizer. It is well known that the solution…