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math.ST2020
Optimal quantization of the mean measure and applications to statistical learning
Frédéric Chazal, Clément Levrard, Martin Royer
This paper addresses the case where data come as point sets, or more generally as discrete measures. Our motivation is twofold: first we intend to approximate with a compactly supp…
math.ST2017★ 11 cited
Adaptive Clustering through Semidefinite Programming
Martin Royer
We analyze the clustering problem through a flexible probabilistic model that aims to identify an optimal partition on the sample X 1 , ..., X n. We perform exact clustering with h…
math.ST2016
PECOK: a convex optimization approach to variable clustering
Florentina Bunea, Christophe Giraud, Martin Royer +1
The problem of variable clustering is that of grouping similar components of a -dimensional vector , and estimating these groups from independent cop…