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 / Glielmo, Aldo; Macocco, Iuri; Doimo, Diego; Carli, Matteo; Zeni, Claudio; Wild, Romina; D'Errico, Maria; Rodriguez, Alex; Laio, Alessandro. - In: PATTERNS. - ISSN 2666-3899. - 3:10(2022). [10.1016/j.patter.2022.100589]
DADApy: Distance-based analysis of data-manifolds in Python
Glielmo, Aldo;Macocco, Iuri;Doimo, Diego;Carli, Matteo;Zeni, Claudio;Wild, Romina;d'Errico, Maria;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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
