Filtration Simplification for Persistent Homology via Edge Contraction

被引:0
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作者
Tamal K. Dey
Ryan Slechta
机构
[1] The Ohio State University,
关键词
Topological data analysis; Persistent homology; Edge contraction;
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摘要
Persistent homology is a popular data analysis technique that is used to capture the changing homology of an indexed sequence of simplicial complexes. These changes are summarized in persistence diagrams. A natural problem is to contract edges in complexes in the initial sequence to obtain a sequence of simplified complexes while controlling the perturbation between the original and simplified persistence diagrams. This paper is an extended version of Dey and Slechta (in: Discrete geometry for computer imagery, Springer, New York, 2019), where we developed two contraction operators for the case where the initial sequence is a filtration. In addition to the content in the original version, this paper presents proofs relevant to the filtration case and develops contraction operators for towers and multiparameter filtrations.
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页码:704 / 717
页数:13
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