Topological methods in data analysis and visualization. II, Theory, algorithms, and applications
When scientists analyze datasets in a search for underlying phenomena, patterns or causal factors, their first step is often an automatic or semi-automatic search for structures in the data. Of these feature-extraction methods, topological ones stand out due to their solid mathematical foundation. T...
Zapisane w:
| 1. autor: | |
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| Kolejni autorzy: | , , |
| Format: | Livre numérique |
| Język: | Anglais |
| Wydane: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Wydanie: | 2012. |
| Seria: | Mathematics and Visualization
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| Dostęp online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Komentarz: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Topological Methods in Data Analysis and Visualization II, Texte imprimé, 9783642231742 • Topological Methods in Data Analysis and Visualization II, Texte imprimé, 9783642231766 • Topological Methods in Data Analysis and Visualization II, Texte imprimé, 9783662519066 |
Spis treści:
- Part I: Discrete Morse Theory.- Part II: Hierarchical Methods for Extracting and Visualizing Topological Structures Part III: Visualization of Dynamical Systems, Vector and Tensor Fields Part IV: Topological Visualization of Unsteady Flow