40 citations · 88 across the 7 of their papers we have counts for
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math.ST2018★ 1 cited
Robust Bregman Clustering
Aurélie Fischer, Clément Levrard, Claire Brécheteau
Using a trimming approach, we investigate a k-means type method based on Bregman divergences for clustering data possibly corrupted with clutter noise. The main interest of Bregman…
math.ST2018★ 2 cited
Convergence rates for smooth k-means change-point detection
Aurélie Fischer, Dominique Picard
In this paper, we consider the estimation of a change-point for possibly high-dimensional data in a Gaussian model, using a k-means method. We prove that, up to a logarithmic term,…