Geometric and Topological Inference (Hardcover)

Jean-Daniel Boissonnat, Frederic Chazal, Mariette Yvinec

Series: Cambridge Texts in Applied Mathematics

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Geometric and topological inference deals with the retrieval of information about a geometric object using only a finite set of possibly noisy sample points. It has connections to manifold learning and provides the mathematical and algorithmic foundations of the rapidly evolving field of topological data analysis. Building on a rigorous treatment of simplicial complexes and distance functions, this self-contained book covers key aspects of the field, from data representation and combinatorial questions to manifold reconstruction and persistent homology. It can serve as a textbook for graduate students or researchers in mathematics, computer science and engineering interested in a geometric approach to data science.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Series:	Cambridge Texts in Applied Mathematics
Release date:	September 2018
Authors:	Jean-Daniel Boissonnat • Frederic Chazal • Mariette Yvinec
Dimensions:	236 x 157 x 18mm (L x W x T)
Format:	Hardcover
Pages:	246
ISBN-13:	978-1-108-41939-0
Categories:	Books > Reference & Interdisciplinary > Communication studies > Data analysis Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Geometry > General Books > Science & Mathematics > Mathematics > Topology > General Promotions
LSN:	1-108-41939-9
Barcode:	9781108419390