Figure 2.

A graphical overview shows our VIBE pipeline for evaluating tree clustering confidence. The top row shows our general procedure for calculating a tree-based visualization given a dataset of fixed-size representation vectors. We train a VAE to learn the latent distribution of the representations, allowing us to resample the representation vectors which are subsequently used to calculate replicate trees. These replicate trees are used to assign branch support values to the original tree.