most citedThe DTM-signature for a geometric comparison of metric-measure spaces from samples

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math.ST2018

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…