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Lipschitz Functions Have L p -Stable Persistence
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“There is also a stability result for the Wasserstein distances d p , with p finite, in the presence of a Lipschitz property for the functions, proved in Cohen-Steiner et al. (2010).”
From Topological pattern recognition for point cloud data (2014) · cites this paper as Cohen-Steiner et al. (2010)
Citations
Cites
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Metadata
- Authors
- Cohen-Steiner, D., Edelsbrunner, H., Harer, J., & Mileyko, Y.
- Affiliations
- Duke University (US)
- Corresponding author
- Edelsbrunner, Herbert
- Venue
- Foundations of Computational Mathematics
- Published
- 2010-01-28
- Volume
- 10
- Issue
- 2
- Pages
- 127-139
- ISSN
- 1615-3375 (ISSN-L)
- 1615-3383
- OpenAlex
- W2122101130
- Cited by
- 284
- References
- 16
- Citations by year
- 2026: 19 · 2025: 20 · 2024: 26 · 2023: 32 · 2022: 26 · 2021: 35 · 2020: 25 · 2019: 12 · 2018: 16 · 2017: 13 · 2016: 11 · 2015: 12 · 2014: 14 · 2013: 7 · 2012: 9
- FWCI
- 7.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Foundations of Computational Mathematics (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Topological and Geometric Data Analysis
- Physical Sciences › Mathematics › Applied Mathematics › Geometric Analysis and Curvature Flows
- Physical Sciences › Mathematics › Geometry and Topology › Geometric and Algebraic Topology
- Keywords
- Lipschitz functions, persistence diagrams, Wasserstein distance, topological data analysis, systems biology
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