1 citations · 2 across the 3 of their papers we have counts for
3 papers
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
The k-PDTM : a coreset for robust geometric inference
Claire Brécheteau, Clément Levrard
Analyzing the sub-level sets of the distance to a compact sub-manifold of R d is a common method in TDA to understand its topology. The distance to measure (DTM) was introduced by…
cs.CG2017★ 1 cited
The DTM-signature for a geometric comparison of metric-measure spaces from samples
Claire Brécheteau
In this paper, we introduce the notion of DTM-signature, a measure on R + that can be associated to any metric-measure space. This signature is based on the distance to a measure (…