TDAkit
Toolkit for Topological Data Analysis
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.
- Version0.1.2
- R versionunknown
- LicenseMIT
- Needs compilation?Yes
- Last release08/23/2021
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Team
Kisung You
Byeongsu Yu
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- Imports7 packages
- Linking To2 packages