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. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000577329Publication status
publishedExternal links
Journal / series
PatternsVolume
Pages / Article No.
Publisher
ElsevierSubject
manifold analysis; intrinsic dimension; density estimation; density-based clustering; metric learning; feature selectionOrganisational unit
02207 - Functional Genomics Center Zurich / Functional Genomics Center Zurich
Funding
824143 - MAterials design at the eXascale. European Centre of Excellence in materials modelling, simulations, and design (EC)
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