An Introduction to Topological Data Analysis: Fundamental and Practical Aspects for Data Scientists

Chazal, Frédéric and Michel, Bertrand (2021) An Introduction to Topological Data Analysis: Fundamental and Practical Aspects for Data Scientists. Frontiers in Artificial Intelligence, 4. ISSN 2624-8212

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Abstract

With the recent explosion in the amount, the variety, and the dimensionality of available data, identifying, extracting, and exploiting their underlying structure has become a problem of fundamental importance for data analysis and statistical learning. Topological data analysis (tda) is a recent and fast-growing field providing a set of new topological and geometric tools to infer relevant features for possibly complex data. It proposes new well-founded mathematical theories and computational tools that can be used independently or in combination with other data analysis and statistical learning techniques. This article is a brief introduction, through a few selected topics, to basic fundamental and practical aspects of tda for nonexperts.

Item Type: Article
Subjects: Universal Eprints > Multidisciplinary
Depositing User: Managing Editor
Date Deposited: 11 Feb 2023 04:44
Last Modified: 23 Mar 2024 04:05
URI: http://journal.article2publish.com/id/eprint/1035

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