TDAkit: Toolkit for Topological Data Analysis (original) (raw)
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.
Version: | 0.1.2 |
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Imports: | Rcpp, Rdpack, TDAstats, T4cluster, energy, ggplot2, maotai, stats, utils |
LinkingTo: | Rcpp, RcppArmadillo |
Published: | 2021-08-23 |
DOI: | 10.32614/CRAN.package.TDAkit |
Author: | Kisung You |
Maintainer: | Kisung You |
License: | MIT + file |
NeedsCompilation: | yes |
Materials: | NEWS |
CRAN checks: | TDAkit results |
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