A Bayesian Approach to Hyperbolic Multi-Dimensional Scaling
This paper develops a Bayesian method for hyperbolic multi-dimensional scaling that optimizes geometric parameters and embeds data in hyperbolic spaces, revealing new insights into hierarchical structures.
bioRxiv · Oct 12, 2022 · PreprintBiophysics