72 citations · 105 across the 7 of their papers we have counts for
4 papers · 1 filter
Topological Analysis for Detecting Anomalies (TADA) in Time Series
Frédéric Chazal, Martin Royer, Clément Levrard
This paper introduces new methodology based on the field of Topological Data Analysis for detecting anomalies in multivariate time series, that aims to detect global changes in the…
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…
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…
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…