论文标题

dadapy:基于距离的python数据模型分析

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

论文作者

Glielmo, Aldo, Macocco, Iuri, Doimo, Diego, Carli, Matteo, Zeni, Claudio, Wild, Romina, d'Errico, Maria, Rodriguez, Alex, Laio, Alessandro

论文摘要

dadapy是用于分析和表征高维数据歧管的Python软件包。它提供了估计固有维度和概率密度的方法,用于执行基于密度的聚类和比较不同的距离指标。我们回顾包装的主要功能,并在玩具案例和现实应用程序中说明其使用情况。在开源Apache 2.0许可证下免费获得Dadapy。

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.

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