Medians of populations of persistence diagrams
Not on the map. Why?
Abstract (arXiv)
Persistence diagrams are common objects in the field of Topological Data Analysis. They are topological summaries that capture both topological and geometric structure within data. Recently there has been a surge of interest in developing tools to statistically analyse populations of persistence diagrams, a process hampered by the complicated geometry of the space of persistence diagrams. In this paper we study the median of a set of diagrams, defined as the minimizer of an appropriate cost function analogous to the sum of distances used for samples of real numbers. We then characterize the local minima of this cost function and in doing so characterize the median. We also do some comparative analysis of the properties of the median and the mean.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 31 Jul 2013.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 0; 2026: 1.
2 papers.
- 2022Approximating Persistent Homology for Large Datasetscited by 8
- 2026Persistence-based topological optimization: a surveycited by 1
- 2026Persistence-based topological optimization: a survey24 Mar 2026
- 2022Approximating Persistent Homology for Large Datasets19 Apr 2022