Data Visualization with Category Theory and Geometry

This open access book provides a robust exposition of the mathematical foundations of data representation, focusing on two essential pillars of dimensionality reduction methods, namely geometry in general and Riemannian geometry in particular, and category theory. Presenting a list of examples consi...

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Auteurs principaux:	Barth, Lukas Silvester, Fahimi, Hannaneh, Joharinad, Parvaneh, Jost, Jürgen, Keck, Janis
Format:	Online
Langue:	anglais
Publié:	Springer Nature 2025
Sujets:	Dimension reduction Merging local metrics Data visualization Riemannian geometry Applied category theory UMAP Simplicial complexes Metric realization thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation thema EDItEUR::P Mathematics and Science::PB Mathematics::PBF Algebra
Accès en ligne:	ONIX_20250813T121456_9783031979736_38
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