Format:
1 Online-Ressource (234 Seiten)
ISBN:
9781108297806
Series Statement:
Cambridge texts in applied mathematics 57
Content:
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
Note:
Includes bibliographical references and index
Additional Edition:
ISBN 9781108419390
Additional Edition:
ISBN 9781108410892
Additional Edition:
Erscheint auch als Druck-Ausgabe Boissonnat, Jean-Daniel, 1953 - Geometric and topological inference Cambridge : Cambridge University Press, 2018 ISBN 9781108419390
Additional Edition:
ISBN 9781108410892
Language:
English
Keywords:
Inferenz
;
Differentialgeometrie
;
Differentialtopologie
;
Statistik
;
Datenanalyse
DOI:
10.1017/9781108297806
URL:
Volltext
(lizenzpflichtig)
Author information:
Boissonnat, Jean-Daniel 1953-
Bookmarklink