DADApy: Distance-based Analysis of DAta-manifolds in Python

TL;DR

DADApy is an open-source Python package that enables analysis of high-dimensional data manifolds through methods like intrinsic dimension estimation, density estimation, clustering, and metric comparison, demonstrated on toy and real-world data.

Contribution

This paper introduces DADApy, a comprehensive Python toolkit for manifold analysis, offering new methods and implementations for high-dimensional data characterization.

Findings

Effective in estimating intrinsic dimensions

Accurate density and clustering analysis demonstrated

Versatile with different distance metrics

Abstract

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.