Data Science, Machine Learning, Deep Learning, Artificial Intelligence, Computer Vision.
Mover’s Distance (EMD) or Kantorovich-Rubinstein metric, is a way to measure the dissimilarity between two probability distributions. Unlike other distance metrics such as Euclidean distance or Kullback-Leibler divergence, Wasserstein distance takes into account the underlying geometry and