DADApy is a Python software package for analyzing and characterizing 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 a synthetic dataset and in a real-world application. DADApy is freely available under the open-source Apache 2.0 license.

DADApy: Distance-based analysis of data-manifolds in Python

Doimo, Diego;Rodriguez, Alejandro;Laio, Alessandro
2022-01-01

Abstract

DADApy is a Python software package for analyzing and characterizing 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 a synthetic dataset and in a real-world application. DADApy is freely available under the open-source Apache 2.0 license.
https://www.sciencedirect.com/science/article/pii/S2666389922002070
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/3034884
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