Persistence: Quickly detect clusters and holes in data.
Persistence is a topological data analysis library motivated by flexibility when it comes to the type of data being analyzed. If you have data that comes with a meaningful function into something of the Ord typeclass, you can use Persistence to detect clusters and holes in the data. You can also use the library to analyze the topology of directed/undirected weighted/unweighted graphs, and compare topologies of different data sets.
|Versions [RSS]||1.0, 1.1, 1.1.1, 1.1.2, 1.1.3, 1.1.4, 18.104.22.168, 22.214.171.124, 2.0, 2.0.1, 2.0.2, 2.0.3|
|Dependencies||base (>=4.9 && <4.11.2), containers (>=0.5 && <0.6), maximal-cliques (>=0.1 && <0.2), parallel (>=3.2 && <3.3), vector (>=0.12 && <0.13) [details]|
|Uploaded||by Ebanflo at 2018-07-30T23:42:04Z|
|Reverse Dependencies||1 direct, 0 indirect [details]|
|Downloads||5927 total (6 in the last 30 days)|
|Rating||(no votes yet) [estimated by Bayesian average]|
|Status||Docs available [build log]
Last success reported on 2018-07-30 [all 1 reports]