Persistence: A versatile library for topological data analysis.
A topological data analysis library motivated by flexibility when it comes to the type of data being analyzed. If your data comes with a meaningful binary function into an ordered set, you can use Persistence to analyze your data. The library also provides functions for analyzing directed/undirected, weighted/unweighted graphs. See the README for resources on learning about topological data anlysis.
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- Persistence-2.0.3.tar.gz [browse] (Cabal source package)
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Versions [RSS] | 1.0, 1.1, 1.1.1, 1.1.2, 1.1.3, 1.1.4, 1.1.4.1, 1.1.4.2, 2.0, 2.0.1, 2.0.2, 2.0.3 |
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Change log | changelog.md |
Dependencies | base (>=4.0 && <4.13), containers (>0.5), maximal-cliques (>=0.1), parallel (>=3.2 && <3.3), vector (>=0.12) [details] |
License | BSD-3-Clause |
Copyright | 2019 Eben Kadile |
Author | Eben Kadile |
Maintainer | eben.cowley42@gmail.com |
Category | Data, Math |
Home page | https://github.com/Ebanflo42/Persistence |
Bug tracker | https://github.com/Ebanflo42/Persistence/issues |
Source repo | head: git clone https://github.com/Ebanflo42/Persistence |
Uploaded | by Ebanflo at 2019-08-19T04:28:57Z |
Distributions | |
Reverse Dependencies | 1 direct, 0 indirect [details] |
Downloads | 6255 total (21 in the last 30 days) |
Rating | (no votes yet) [estimated by Bayesian average] |
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Status | Docs uploaded by user Build status unknown [no reports yet] |