Mathematical Principles of Topological and Geometric Data Analysis

This book explores and demonstrates how geometric tools can be used in data analysis. Beginning with a systematic exposition of the mathematical prerequisites, covering topics ranging from category theory to algebraic topology, Riemannian geometry, operator theory and network analysis, it goes on to...

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Autori principali:	Joharinad, Parvaneh (Autore), Jost, Jürgen (Autore)
Ente Autore:	SpringerLink (Online service)
Natura:	Elettronico eBook
Lingua:	inglese
Pubblicazione:	Cham : Springer International Publishing : Imprint: Springer, 2023.
Edizione:	1st ed. 2023.
Serie:	Mathematics of Data, 2
Soggetti:	Mathematics. Machine learning. Computer science. Geometry. Topology. Applications of Mathematics. Machine Learning. Computational Geometry.
Accesso online:	https://doi.org/10.1007/978-3-031-33440-5
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