Topological and statistical methods for complex data tackling large-scale, high-dimensional, and multivariate data spaces ; [Workshop on the Analysis of Large-Scale, High-Dimensional, and Multivariate Data Using Topology and Statistics, held June 12-14 (2013) in Le Barp, France]
"The book presents new methods that leverage the mutual strengths of both topological and statistical techniques to support the management, analysis, and visualization of complex data. It covers both theory and application and provides readers with an overview of important key concepts and the...
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Berlin, Heidelberg u.a.
Springer
c 2015
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| Schriftenreihe: | Mathematics and visualization
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| Online Zugang: | Inhaltsverzeichnis Inhaltstext Cover Inhaltstext |
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| Zusammenfassung: | "The book presents new methods that leverage the mutual strengths of both topological and statistical techniques to support the management, analysis, and visualization of complex data. It covers both theory and application and provides readers with an overview of important key concepts and the latest research trends."-- |
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| Beschreibung: | Editors: Janine Bennett (Sandia National Laboratories, Livermore, CA, USA); Fabien Vivodtzev (CEA CESTA, Le Barp, France); (School of Computing and SCI Institute, University of Utah, Salt Lake City, UT, USA) With 120 figures, 101 in color. - Workshop co-organized by the French Atomic Energy Commission and Alternative Energies (CEA), Sandia National Laboratories, and Kitware, SAS. - Includes bibliographical references and index |
| Beschreibung: | XV, 297 S. Ill., graph. Darst. 25 cm |
| ISBN: | 3662448998 3-662-44899-8 9783662448991 978-3-662-44899-1 |