Multidimensional Data Visualization : Methods and Applications
The goal of this book is to present a variety of methods used in multidimensional data visualization. The emphasis is placed on new research results and trends in this field, including optimization, artificial neural networks, combinations of algorithms, parallel computing, different proximity meas...
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| Hlavní autoři: | , , |
|---|---|
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
New York, NY :
Springer New York
2013.
Cham : Springer Nature |
| Edice: | Springer Optimization and Its Applications
75 |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Multidimensional data visualization, methods and applications, Gintautas Dzemyda, Olga Kurasova, Julius Žilinskas, 2013, New York, Springer, 1 vol. (XII-250 p.), Springer optimization and its applications, 978-1-441-90235-1 • Multidimensional Data Visualization, Texte imprimé, 9781441902672 • Multidimensional Data Visualization, Texte imprimé, 9781489990006 |
Obsah:
- Preface
- 1. Multidimensional Data and the Concept of Visualization
- 2. Strategies for Multidimensional Data Visualization
- 3. Optimization-Based Visualization
- 4. Combining Multidimensional Scaling with Artificial Neural Networks
- 5. Applications of Visualizations
- A. Test Data Sets
- References
- Index.