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...

Descrición completa

Detalles Bibliográficos

Main Authors:	Barth, Lukas Silvester, Fahimi, Hannaneh, Joharinad, Parvaneh, Jost, Jürgen, Keck, Janis
Formato:	Online
Idioma:	inglés
Publicado:	Springer Nature 2025
Subjects:	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
Acceso en liña:	ONIX_20250813T121456_9783031979736_38
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!