DADApy: Distance-based analysis of data-manifolds in Python
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Date
2022-10-14
Publication Type
Journal Article
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yes
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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.
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published
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Journal / series
Volume
3 (10)
Pages / Article No.
100589
Publisher
Elsevier
Event
Edition / version
Methods
Software
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Date collected
Date created
Subject
manifold analysis; intrinsic dimension; density estimation; density-based clustering; metric learning; feature selection
Organisational unit
02207 - Functional Genomics Center Zurich / Functional Genomics Center Zurich
Notes
Funding
824143 - MAterials design at the eXascale. European Centre of Excellence in materials modelling, simulations, and design (EC)