PERSISTENT COHOMOLOGY OF COVER REFINEMENTS

dc.contributor.advisor Mileyko, Yuriy
dc.contributor.author Markovichenko, Oleksandr
dc.contributor.department Mathematics
dc.date.accessioned 2022-10-19T22:36:01Z
dc.date.available 2022-10-19T22:36:01Z
dc.date.issued 2022
dc.description.degree Ph.D.
dc.identifier.uri https://hdl.handle.net/10125/103888
dc.subject Mathematics
dc.subject Cover tree
dc.subject Persistent homology
dc.subject Topological data analysis
dc.title PERSISTENT COHOMOLOGY OF COVER REFINEMENTS
dc.type Thesis
dcterms.abstract Topological data analysis (TDA) is a new approach to analyzing complex data which often helps reveal otherwise hidden patterns by highlighting various geometrical and topological features of the data. Persistent homology is a key in the TDA toolbox. It measures topological features of data that persist across multiple scales and thus are robust with respect to noise. Persistent homology has had many successful applications, but there is room for improvement. For large datasets, computation of persistent homology often takes a significant amount of time. Several approaches have been proposed to try to remedy this issue, such as witness complexes, but those approaches present their own difficulties. In this work, we show that one can leverage a well-known data structure in computer science called a cover tree. It allows us to create a new construction that avoids difficulties of witness complex and can potentially provide a significant computational speed up. Moreover, we prove that the persistence diagrams obtained using our novel construction are actually close in a certain rigorously defined way to persistence diagrams which we obtain using the standard approach based on Cech complexes. This quantifiable coarse computation of persistence diagrams has the potential to be used in many applications where features with a low persistence are known to be less important.
dcterms.extent 67 pages
dcterms.language en
dcterms.publisher University of Hawai'i at Manoa
dcterms.rights All UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner.
dcterms.type Text
local.identifier.alturi http://dissertations.umi.com/hawii:11275
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