Umfang:
1 Online-Ressource (234 Seiten)
ISBN:
9781108297806
Serie:
Cambridge texts in applied mathematics 57
Inhalt:
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
Anmerkung:
Includes bibliographical references and index
Weitere Ausg.:
ISBN 9781108419390
Weitere Ausg.:
ISBN 9781108410892
Weitere Ausg.:
Erscheint auch als Druck-Ausgabe Boissonnat, Jean-Daniel, 1953 - Geometric and topological inference Cambridge : Cambridge University Press, 2018 ISBN 9781108419390
Weitere Ausg.:
ISBN 9781108410892
Sprache:
Englisch
Schlagwort(e):
Inferenz
;
Differentialgeometrie
;
Differentialtopologie
;
Statistik
;
Datenanalyse
DOI:
10.1017/9781108297806
URL:
Volltext
(lizenzpflichtig)
Mehr zum Autor:
Boissonnat, Jean-Daniel 1953-
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