Topological Complexity And Algorithms For Analyzing The Data

dc.contributor.author	Kosimova Marjona Shakirjon qizi
dc.date.accessioned	2026-01-02T11:47:38Z
dc.date.issued	2024-06-28
dc.description.abstract	In this article, we delve into the fundamental concepts of topological complexity and explore the algorithms that enable us to analyze and interpret data shapes effectively. From the foundational principles of topology and simplicial complexes to advanced computational techniques like persistent homology and Mapper, we uncover how TDA offers a unique perspective on data analysis.
dc.format	application/pdf
dc.identifier.uri	https://geniusjournals.org/index.php/ejpcm/article/view/6177
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/78212
dc.language.iso	eng
dc.publisher	Genius Journals
dc.relation	https://geniusjournals.org/index.php/ejpcm/article/view/6177/5160
dc.rights	https://creativecommons.org/licenses/by-nc/4.0
dc.source	Eurasian Journal of Physics,Chemistry and Mathematics; Vol. 31 (2024): EJPCM; 1-4
dc.source	2795-7667
dc.subject	Topological Complexity
dc.subject	topological data analysis
dc.subject	persistent homology
dc.subject	mapper algorithm
dc.title	Topological Complexity And Algorithms For Analyzing The Data
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

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