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DADApy: Distance-based Analysis of DAta-manifolds in Python. (arXiv:2205.03373v1 [cs.LG])
Web: http://arxiv.org/abs/2205.03373
May 9, 2022, 1:10 a.m. | Aldo Glielmo, Iuri Macocco, Diego Doimo, Matteo Carli, Claudio Zeni, Romina Wild, Maria d'Errico, Alex Rodriguez, Alessandro Laio
stat.ML updates on arXiv.org arxiv.org
DADApy is a python software package for analysing and characterising
high-dimensional data manifolds. It provides methods for estimating the
intrinsic dimension and the probability density, for performing density-based
clustering and for comparing different distance metrics. We review the main
functionalities of the package and exemplify its usage in toy cases and in a
real-world application. The package is freely available under the open-source
Apache 2.0 license and can be downloaded from the Github page
https://github.com/sissa-data-science/DADApy.
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