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

delete2022-10-01
delete18
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OA
AI
A
Aldo Glielmo *
I
Iuri Macocco
D
Diego Doimo
M
Matteo Carli
C
Claudio Zeni
R
Romina Wild
M
Maria d’Errico
Á
Álex Rodríguez
A
Alessandro Laio *
DOI:10.1016/j.patter.2022.100589delete
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Abstract

Abstract

En 中文
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.
Keywords:
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DYNAMICS
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Patterns cover
Patterns
IF:
7.4
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938
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B
Bank of Italy
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