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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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583186 | PMC |
| http://dx.doi.org/10.1016/j.patter.2022.100589 | DOI Listing |
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DADApy: Distance-based analysis of data-manifolds in Python.
Patterns (N Y)
October 2022
International School for Advanced Studies (SISSA), Via Bonomea 265, Trieste, Italy.
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.
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