Topological Data Analysis Theory, Algorithms, and Applications
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Organizer(s): |
Name:
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Affiliation:
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Country:
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Firas Khasawneh
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Michigan State University
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USA
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Introduction:
| | This special session focuses on recent advances in the theory and applications of Topological Data Analysis (TDA). This includes research on the topology of random, high-dimensional, or time-varying data, cycle representatives, shape analysis with TDA, as well as theory, algorithms and software for topological computations. Applications that showcase the utility of TDA in various fields or highlight opportunities for future advances in theory or algorithms are also welcome.
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