Data Visualization with Category Theory and Geometry

Language: English

Published by Springer, Springer Aug 2025, 2025

3031979729 / 9783031979729

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This item is printed on demand - Print on Demand Titel. Neuware -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 consisting of both geometric objects and empirical datasets, this book provides insights into the different effects of dimensionality reduction techniques on data representation and visualization, with the aim of guiding the reader in understanding the expected results specific to each method in such scenarios.As a showcase, the dimensionality reduction method of 'Uniform Manifold Approximation and Projection' (UMAP) has been used in this book, as it is built on theoretical foundations from all the areas we want to highlight here. Thus, this book also aims to systematically present the details of constructing a metric representation of a locally distorted metric space, which is essentially the problem that UMAP is trying to address, from a more general perspective.Explaining how UMAP fits into this broader framework, while critically evaluating the underlying ideas, this book finally introduces an alternative algorithm to UMAP. This algorithm, called IsUMap, retains many of the positive features of UMAP, while improving on some of its drawbacks.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 288 pp. Englisch.

Seller Inventory # 9783031979729

Title
Data Visualization with Category Theory and Geometry
Author
Lukas Silvester Barth
Publisher
Springer, Springer Aug 2025
Publication year
2025
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3031979729
ISBN 13
9783031979729
Item weight
598 grams
Dimensions
241x160x22 mm

buchversandmimpf2000

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