TDApplied: An R package for machine learning and inference with persistence diagrams

Shael Brown, Reza Farivar-Mohseni
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Abstract

Topological data analysis is a collection of tools, based on the mathematical fields of topology and geometry, for finding structure in whole datasets. Its main tool, persistent homology (Edelsbrunner et al., 2000; Zomorodian & Carlsson, 2005), computes a shape descriptor of a dataset called a persistence diagram which encodes information about holes that exist in the dataset (example applications span a variety of areas, see for example Gracia-Tabuenca et al. (2020), Haim Meirom & Bobrowski (2022)
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TDApplied:用于机器学习和持久图推断的 R 软件包
拓扑数据分析是一系列基于拓扑学和几何学数学领域的工具,用于发现整个数据集的结构。其主要工具持久同构(Edelsbrunner 等人,2000 年;Zomorodian & Carlsson,2005 年)计算数据集的形状描述符,称为持久图,其中编码了数据集中存在的洞的信息(应用实例涉及多个领域,参见 Gracia-Tabuenca 等人 (2020)、Haim Meirom & Bobrowski (2022) 等)。
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