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Geometric and Topological Inference
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Geometric and Topological Inference

Book Details

Format Paperback / Softback
ISBN-10 1108410898
ISBN-13 9781108410892
Publisher Cambridge University Press
Imprint Cambridge University Press
Country of Manufacture US
Country of Publication GB
Publication Date Sep 27th, 2018
Print length 246 Pages
Weight 356 grams
Dimensions 17.70 x 22.80 x 1.70 cms
Ksh 6,850.00
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This book offers a rigorous introduction to geometric and topological inference, a rapidly evolving field that intersects computational geometry, applied topology, and data analysis. 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.
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.

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