DADApy: Distance-based Analysis of DAta-manifolds in Python
This provides tools for researchers in data science and machine learning to analyze complex datasets, but it is incremental as it packages existing methods into a software library.
DADApy is a Python package for analyzing high-dimensional data manifolds, offering methods for intrinsic dimension estimation, probability density estimation, density-based clustering, and distance metric comparison, with examples in toy cases and a real-world application.
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.