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Topological methods in data analysis...

Carr, Hamish.

Topological methods in data analysis and visualization.theory, algorithms, and applications /V

Record Type:	Electronic resources : Monograph/item
Title/Author:	Topological methods in data analysis and visualization.edited by Hamish Carr ... [et al.].
Reminder of title:	theory, algorithms, and applications /
other author:	Carr, Hamish.
Published:	Cham :Springer International Publishing :2020.
Description:	x, 270 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Topology
Online resource:	https://doi.org/10.1007/978-3-030-43036-8
ISBN:	9783030430368$q(electronic bk.)

Topological methods in data analysis and visualization.theory, algorithms, and applications /V
Topological methods in data analysis and visualization.theory, algorithms, and applications /V[electronic resource] :edited by Hamish Carr ... [et al.]. - Cham :Springer International Publishing :2020. - x, 270 p. :ill. (some col.), digital ;24 cm. - Mathematics and visualization,1612-3786. - Mathematics and visualization..

Persistence -- Scalar Topology -- Time-Varying Topology -- Multivariate Topology -- Other Forms of Topology.

This collection of peer-reviewed workshop papers provides comprehensive coverage of cutting-edge research into topological approaches to data analysis and visualization. It encompasses the full range of new algorithms and insights, including fast homology computation, comparative analysis of simplification techniques, and key applications in materials and medical science. The book also addresses core research challenges such as the representation of large and complex datasets, and integrating numerical methods with robust combinatorial algorithms. In keeping with the focus of the TopoInVis 2017 Workshop, the contributions reflect the latest advances in finding experimental solutions to open problems in the sector. They provide an essential snapshot of state-of-the-art research, helping researchers to keep abreast of the latest developments and providing a basis for future work. Gathering papers by some of the world's leading experts on topological techniques, the book represents a valuable contribution to a field of growing importance, with applications in disciplines ranging from engineering to medicine.

ISBN: 9783030430368$q(electronic bk.)

Standard No.: 10.1007/978-3-030-43036-8doiSubjects--Topical Terms:

254253
Topology

LC Class. No.: QA611.A1 / T676 2020

Dewey Class. No.: 515.13

Topological methods in data analysis and visualization.theory, algorithms, and applications /V
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505 0 $a Persistence -- Scalar Topology -- Time-Varying Topology -- Multivariate Topology -- Other Forms of Topology.
520 $a This collection of peer-reviewed workshop papers provides comprehensive coverage of cutting-edge research into topological approaches to data analysis and visualization. It encompasses the full range of new algorithms and insights, including fast homology computation, comparative analysis of simplification techniques, and key applications in materials and medical science. The book also addresses core research challenges such as the representation of large and complex datasets, and integrating numerical methods with robust combinatorial algorithms. In keeping with the focus of the TopoInVis 2017 Workshop, the contributions reflect the latest advances in finding experimental solutions to open problems in the sector. They provide an essential snapshot of state-of-the-art research, helping researchers to keep abreast of the latest developments and providing a basis for future work. Gathering papers by some of the world's leading experts on topological techniques, the book represents a valuable contribution to a field of growing importance, with applications in disciplines ranging from engineering to medicine.
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