DADApy: Distance-based analysis of data-manifolds in Python
Aldo Glielmo, Iuri Macocco, Diego Doimo, Matteo Carli, Claudio Zeni, Romina Wild, Maria d’Errico, Álex Rodríguez, Alessandro Laio
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.
Topics & Concepts
Python (programming language)R packageMIT LicenseCluster analysisComputer scienceLicenseOpen sourceSoftwareSoftware packageData miningOpen source softwareProgramming languageArtificial intelligenceOperating systemAdvanced Clustering Algorithms ResearchStatistical Mechanics and EntropyComputational Physics and Python Applications