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...
Đã lưu trong:
| Những tác giả chính: | , , |
|---|---|
| Định dạng: | Livre numérique |
| Ngôn ngữ: | Anglais |
| Được phát hành: |
New York, NY :
Springer New York
2013.
Cham : Springer Nature |
| Loạt: | Springer Optimization and Its Applications
75 |
| Truy cập trực tuyến: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Chú thích: |
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 |