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.
Version: |
0.1.2 |
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 [aut,
cre],
Byeongsu Yu [aut] |
Maintainer: |
Kisung You <kisungyou at outlook.com> |
License: |
MIT + file LICENSE |
NeedsCompilation: |
yes |
Materials: |
NEWS |
CRAN checks: |
TDAkit results |
Documentation:
Downloads:
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