Optimal Riemannian quantization with an application to air traffic analysis
Optimal Riemannian quantization with an application to air traffic analysis
The goal of optimal quantization is to find the best approximation of a probability distribution by a discrete measure with finite support. When dealing with empirical distributions, this boils down to finding the best summary of the data by a smaller number of points, and automatically yields a K-means-type clustering. …