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arXiv · 2406.17045

Topological Data Analysis via Undergraduate Linear Algebra

Cheyne Glass·Elizabeth Vidaurre
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Abstract

Topological Data Analysis has grown in popularity in recent years as a way to apply tools from algebraic topology to large data sets. One of the main tools in topological data analysis is persistent homology. This paper uses undergraduate linear algebra to provide explicit methods for, and examples of, computing persistent (co)homology.

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Cheyne Glass, Elizabeth Vidaurre. 2024-06-24. Topological Data Analysis via Undergraduate Linear Algebra. https://arxiv.org/abs/2406.17045

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