Wasserstein t-SNE. (arXiv:2205.07531v2 [cs.LG] UPDATED)

Scientific datasets often have hierarchical structure: for example, in
surveys, individual participants (samples) might be grouped at a higher level
(units) such as their geographical region. In these settings, the interest is
often in exploring the structure on the unit level rather than on the sample
level. Units can be compared based on the distance between their means, however
this ignores the within-unit distribution of samples. Here we develop an
approach for exploratory analysis of hierarchical datasets using the
Wasserstein …

arxiv lg