Persistence: Quickly detect clusters and holes in data.

[ bsd3, data, library, math ] [ Propose Tags ]

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.

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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
Change log ChangeLog.md
Dependencies base (>=4.9 && <4.12), containers (>=0.5 && <0.6), maximal-cliques (>=0.1 && <0.2), parallel (>=3.2 && <3.3), vector (>=0.12 && <0.13) [details]
License BSD-3-Clause
Author Eben Cowley
Maintainer eben.cowley42@gmail.com
Category Data
Uploaded by Ebanflo at 2018-06-03T23:30:59Z
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Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 6217 total (47 in the last 30 days)
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Status Docs available [build log]
Last success reported on 2018-06-03 [all 1 reports]