DADApy: Distance-based Analysis of DAta-manifolds in Python

• URL: http://arxiv.org/abs/2205.03373v1
• Date: Wed, 4 May 2022 08:41:59 GMT
• Title: DADApy: Distance-based Analysis of DAta-manifolds in Python
• Authors: Aldo Glielmo, Iuri Macocco, Diego Doimo, Matteo Carli, Claudio Zeni, Romina Wild, Maria d'Errico, Alex Rodriguez, Alessandro Laio
• Abstract summary: DADApy is a python software package for analysing and characterising high-dimensional data. It provides methods for estimating the intrinsic dimension and the probability density, for performing density-based clustering and for comparing different distance metrics.
• Score: 51.37841707191944
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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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