English

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

Machine Learning 2022-09-21 v2 Computational Physics Machine Learning

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. DADApy is freely available under the open-source Apache 2.0 license.

Keywords

Cite

@article{arxiv.2205.03373,
  title  = {DADApy: Distance-based Analysis of DAta-manifolds in Python},
  author = {Aldo Glielmo and Iuri Macocco and Diego Doimo and Matteo Carli and Claudio Zeni and Romina Wild and Maria d'Errico and Alex Rodriguez and Alessandro Laio},
  journal= {arXiv preprint arXiv:2205.03373},
  year   = {2022}
}

Comments

9 pages, 6 figures. Patterns (2022)

R2 v1 2026-06-24T11:09:39.133Z