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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|Versions [RSS]||1.0, 1.1, 1.1.1, 1.1.2, 1.1.3, 1.1.4, 188.8.131.52, 184.108.40.206, 2.0, 2.0.1, 2.0.2, 2.0.3|
|Dependencies||base (>=4.0 && <4.13), containers (>0.5), maximal-cliques (>=0.1), parallel (>=3.2 && <3.3), vector (>=0.12) [details]|
|Copyright||2019 Eben Kadile|
|Source repo||head: git clone https://github.com/Ebanflo42/Persistence|
|Uploaded||by Ebanflo at 2019-08-19T04:28:57Z|
|Reverse Dependencies||1 direct, 0 indirect [details]|
|Downloads||5786 total (28 in the last 30 days)|
|Rating||(no votes yet) [estimated by Bayesian average]|
|Status||Docs uploaded by user
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