English

Barycenters for the Hellinger--Kantorovich distance over $\mathbb{R}^d$

Optimization and Control 2021-01-26 v3

Abstract

We study the barycenter of the Hellinger--Kantorovich metric over non-negative measures on compact, convex subsets of Rd\mathbb{R}^d. The article establishes existence, uniqueness (under suitable assumptions) and equivalence between a coupled-two-marginal and a multi-marginal formulation. We analyze the HK barycenter between Dirac measures in detail, and find that it differs substantially from the Wasserstein barycenter by exhibiting a local `clustering' behaviour, depending on the length scale of the input measures. In applications it makes sense to simultaneously consider all choices of this scale, leading to a 1-parameter family of barycenters. We demonstrate the usefulness of this family by analyzing point clouds sampled from a mixture of Gaussians and inferring the number and location of the underlying Gaussians.

Keywords

Cite

@article{arxiv.1910.14572,
  title  = {Barycenters for the Hellinger--Kantorovich distance over $\mathbb{R}^d$},
  author = {Gero Friesecke and Daniel Matthes and Bernhard Schmitzer},
  journal= {arXiv preprint arXiv:1910.14572},
  year   = {2021}
}

Comments

Minor changes to keep consistent with journal version