7 citations · 7 across the 2 of their papers we have counts for
2 papers
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…
math.ST2018★ 7 cited
Quantization/clustering: when and why does k-means work?
Clément Levrard
Though mostly used as a clustering algorithm, k-means are originally designed as a quantization algorithm. Namely, it aims at providing a compression of a probability distribution…