Linear programs (LPs) can be solved through a polynomial number of so-ca...
The discrete Wasserstein barycenter problem is a minimum-cost mass trans...
Clustering is one of the fundamental tasks in data analytics and machine...
The classical k-means algorithm for partitioning n points in
R^d into k ...
Many applications in data analysis begin with a set of points in a Eucli...