Ebook Info
- Published: 2018
- Number of pages: 241 pages
- Format: PDF
- File Size: 4.94 MB
- Authors: Jean-Daniel Boissonnat
Description
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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Keywords
Free Download Geometric and Topological Inference (Cambridge Texts in Applied Mathematics Book 57) 1st Edition in PDF format
Geometric and Topological Inference (Cambridge Texts in Applied Mathematics Book 57) 1st Edition PDF Free Download
Download Geometric and Topological Inference (Cambridge Texts in Applied Mathematics Book 57) 1st Edition 2018 PDF Free
Geometric and Topological Inference (Cambridge Texts in Applied Mathematics Book 57) 1st Edition 2018 PDF Free Download
Download Geometric and Topological Inference (Cambridge Texts in Applied Mathematics Book 57) 1st Edition PDF
Free Download Ebook Geometric and Topological Inference (Cambridge Texts in Applied Mathematics Book 57) 1st Edition