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Topological data analysis studies structure and shape of the data using topological features. We provide a variety of algorithms to learn with persistent homology of the data based on functional summaries for clustering, hypothesis testing, visualization, and others. We refer to Wasserman (2018) <doi:10.1146/annurev-statistics-031017-100045> for a statistical perspective on the topic.
Package details |
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| Author | Kisung You [aut, cre] (ORCID: <https://orcid.org/0000-0002-8584-459X>), Byeongsu Yu [aut] |
| Maintainer | Kisung You <kisung.you@outlook.com> |
| License | MIT + file LICENSE |
| Version | 0.1.3 |
| Package repository | View on CRAN |
| Installation |
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