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Stability of Homology-Based Invariants in Data Analysis
KTH, School of Engineering Sciences (SCI).
2020 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Stabilitet hos homologibaserade invarianter i dataanalys (Swedish)
Abstract [en]

In this thesis we will study the stability of the persistent homology pipeline used in topological data analysis. In particular, we will prove that persistent homology is 2-Lipschitz with respect to the Gromov-Hausdorff distance on the space of pseudometric spaces and interleaving distance on the space of parametrised vector spaces. We will also investigate what effects the structure of the input space has on stability and other steps in the process. Many concrete examples will be provided for the mathematical objects and concepts involved.

Place, publisher, year, edition, pages
2020.
Series
TRITA-SCI-GRU ; 2020:130
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-275692OAI: oai:DiVA.org:kth-275692DiVA, id: diva2:1436845
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Examiners
Available from: 2020-06-08 Created: 2020-06-08 Last updated: 2022-06-26Bibliographically approved

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fulltext(607 kB)242 downloads
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  • apa
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  • nn-NB
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Output format
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