Ripser.py: A Lean Persistent Homology Library for Python

Author:

Tralie ChristopherORCID,Saul NathanielORCID,Bar-On RannORCID

Publisher

The Open Journal

Reference19 articles.

1. Ripser:%20a%20lean%20C++%20code%20for%20the%20computation%20of%20Vietoris-Rips%20persistence%20barcodes, Bauer,%20Ulrich, Software%20available%20at%20https://github.com/Ripser/ripser, 2017

2. Scikit-learn:%20Machine%20Learning%20in%20Python, Pedregosa,%20F.%20and%20Varoquaux,%20G.%20and%20Gramfort,%20A.%20and%20Michel,%20V.%20and%20Thirion,%20B.%20and%20Grisel,%20O.%20and%20Blondel,%20M.%20and%20Prettenhofer,%20P.%20and%20Weiss,%20R.%20and%20Dubourg,%20V.%20and%20Vanderplas,%20J.%20and%20Passos,%20A.%20and%20Cournapeau,%20D.%20and%20Brucher,%20M.%20and%20Perrot,%20M.%20and%20Duchesnay,%20E., Journal%20of%20Machine%20Learning%20Research, 12, 2825%E2%80%932830, 2011

3. Persistence diagrams with linear machine learning models

4. Persistent Cohomology and Circular Coordinates

5. Multiscale Projective Coordinates via Persistent Cohomology of Sparse Filtrations

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