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TDAstats:Pipeline for Topological Data Analysis
A comprehensive toolset for any useR conducting topological data analysis, specifically via the calculation of persistent homology in a Vietoris-Rips complex. The tools this package currently provides can be conveniently split into three main sections: (1) calculating persistent homology; (2) conducting statistical inference on persistent homology calculations; (3) visualizing persistent homology and statistical inference. The published form of TDAstats can be found in Wadhwa et al. (2018) <doi:10.21105/joss.00860>. For a general background on computing persistent homology for topological data analysis, see Otter et al. (2017) <doi:10.1140/epjds/s13688-017-0109-5>. To learn more about how the permutation test is used for nonparametric statistical inference in topological data analysis, read Robinson & Turner (2017) <doi:10.1007/s41468-017-0008-7>. To learn more about how TDAstats calculates persistent homology, you can visit the GitHub repository for Ripser, the software that works behind the scenes at <https://github.com/Ripser/ripser>. This package has been published as Wadhwa et al. (2018) <doi:10.21105/joss.00860>.
Maintained by Raoul Wadhwa. Last updated 3 years ago.
data-scienceggplot2homologyhomology-calculationshomology-computationjosspersistent-homologypipelineripsertdatopological-data-analysistopologytopology-visualizationvisualizationcpp
40 stars 8.30 score 46 scripts 4 dependentstdaverse
ripserr:Calculate Persistent Homology with Ripser-Based Engines
Ports the Ripser <arxiv:1908.02518> and Cubical Ripser <arxiv:2005.12692> persistent homology calculation engines from C++. Can be used as a rapid calculation tool in topological data analysis pipelines.
Maintained by Jason Cory Brunson. Last updated 2 hours ago.
algebraic-topologycohomologycppcubical-complexpersistent-homologypixelpoint-cloudr-languager-programmingrcpprips-complexripsersimplicial-complexsimplicial-homologytopological-data-analysistopologyvietoris-complexvoxelcpp
8 stars 6.16 score 6 scripts