DagRep.13.5.71.pdf
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Topological Data Analysis and Applications (Dagstuhl Seminar 23192)
Authors and all authors of the abstracts in this report
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Issue:
Dagstuhl Reports, Volume 13, Issue 5
Volume: Dagstuhl Reports, Volume 13
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2023-11-27
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Ulrich Bauer, Vijay Natarajan, and Bei Wang. Topological Data Analysis and Applications (Dagstuhl Seminar 23192). In Dagstuhl Reports, Volume 13, Issue 5, pp. 71-95, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/DagRep.13.5.71
https://doi.org/10.4230/DagRep.13.5.71
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 23192 "Topological Data Analysis and Applications". The seminar brought together researchers with backgrounds in mathematics, computer science, and different application domains with the aim of identifying and exploring emerging directions within computational topology for data analysis. This seminar was designed to be a followup event to two successful Dagstuhl Seminars (17292, July 2017; 19212, May 2019). The list of topics and participants were updated to reflect recent developments and to engage wider participation. Close interaction between the participants during the seminar accelerated the convergence between mathematical and computational thinking in the development of theories and scalable algorithms for data analysis, and the identification of different applications of topological analysis.
Subject Classification
ACM Subject Classification
- Human-centered computing → Visualization
- Information systems → Data analytics
- Mathematics of computing → Algebraic topology
- Theory of computation → Computational geometry
Keywords
- algorithms
- applications
- computational topology
- topological data analysis
- visualization
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