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...
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| 主要作者: | |
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| 其他作者: | , , |
| 格式: | Livre numérique |
| 語言: | Anglais |
| 出版: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| 版: | 2012. |
| 叢編: | Mathematics and Visualization
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| 在線閱讀: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 提示: |
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 |