Clustering with Constraints

The discussion dives into the use of the Sinkhorn algorithm for solving assignment problems in clustering, focusing on how features are assigned to prototypes while maintaining equal representation. Mathilde explains the need for constraints to prevent the network from collapsing into a single prototype, highlighting the balance between simplicity and mathematical rigor in optimal transport theory.