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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Dzemyda, Gintautas (Autor), Kurasova, Olga (Autor), Žilinskas, Julius (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:Springer Optimization and Its Applications, 75
Temas:
Mathematical optimization.
Computer simulation.
Information visualization.
Artificial intelligence.
Optimization.
Computer Modelling.
Data and Information Visualization.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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