Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Geometric and Topological Inference

Geometric and Topological Inference

Boissonnat, Jean-Daniel
Chazal, Frédéric
Yvinec, Mariette

Paperback

Series: Cambridge Texts in Applied Mathematics, Book 57

General ComputersGeneral Mathematics

ISBN10: 1108410898
ISBN13: 9781108410892
Publisher: Cambridge
Published: Sep 27 2018
Pages: 246
Weight: 0.80
Height: 0.63 Width: 6.42 Depth: 8.96
Language: English
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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