On clustering uncertain and structured data with Wasserstein barycenters and a geodesic criterion for the number of clusters

no code implementations • 26 Dec 2019 • G. I. Papayiannis, G. N. Domazakis, D. Drivaliaris, S. Koukoulas, A. E. Tsekrekos, A. N. Yannacopoulos

In this work clustering schemes for uncertain and structured data are considered relying on the notion of Wasserstein barycenters, accompanied by appropriate clustering indices based on the intrinsic geometry of the Wasserstein space where the clustering task is performed.

Astronomy Clustering