Fast unsupervised ground metric learning with tree-Wasserstein distance

Kira M. Düsterwald, Samo Hromadka, Makoto Yamada

The performance of unsupervised methods such as clustering depends on the choice of distance metric between features, or ground metric. Commonly, ground metrics are decided with he…