A Practical Approach for Computing the Diameter of a Point Set
Sariel Har-Peled

TL;DR
This paper introduces a simple, robust approximation algorithm for efficiently computing the diameter of point sets in high-dimensional space, adapting to input difficulty and performing well in practice.
Contribution
It presents a new diameter approximation algorithm that is sensitive to input complexity and offers fast, accurate results suitable for practical applications.
Findings
Algorithm is fast for most inputs
It adapts to the hardness of the problem
It demonstrates good empirical performance
Abstract
We present an approximation algorithm for computing the diameter of a point-set in . The new algorithm is sensitive to the ``hardness'' of computing the diameter of the given input, and for most inputs it is able to compute the exact diameter extremely fast. The new algorithm is simple, robust, has good empirical performance, and can be implemented quickly. As such, it seems to be the algorithm of choice in practice for computing/approximating the diameter.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Approximation and Integration · Computational Geometry and Mesh Generation · Topological and Geometric Data Analysis
