HyperSteiner: Computing Heuristic Hyperbolic Steiner Minimal Trees

Document detail

ID

oai:arXiv.org:2409.05671

Topic

Computer Science - Computational G...

Author

García-Castellanos, Alejandro Medbouhi, Aniss Aiman Marchetti, Giovanni Luca Bekkers, Erik J. Kragic, Danica

Year

2024

listing date

1/22/2025

Keywords

steiner hypersteiner

Metrics

Abstract

We propose HyperSteiner -- an efficient heuristic algorithm for computing Steiner minimal trees in the hyperbolic space.

HyperSteiner extends the Euclidean Smith-Lee-Liebman algorithm, which is grounded in a divide-and-conquer approach involving the Delaunay triangulation.

The central idea is rephrasing Steiner tree problems with three terminals as a system of equations in the Klein-Beltrami model.

Motivated by the fact that hyperbolic geometry is well-suited for representing hierarchies, we explore applications to hierarchy discovery in data.

Results show that HyperSteiner infers more realistic hierarchies than the Minimum Spanning Tree and is more scalable to large datasets than Neighbor Joining.

García-Castellanos, Alejandro,Medbouhi, Aniss Aiman,Marchetti, Giovanni Luca,Bekkers, Erik J.,Kragic, Danica, 2024, HyperSteiner: Computing Heuristic Hyperbolic Steiner Minimal Trees