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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Bibliographic Details
Main Authors: Dzemyda, Gintautas, Kurasova, Olga (Author), Žilinskas, Julius (Author)
Format: eBook
Published: New York, NY Springer New York 2013, 2013
Edition:1st ed. 2013
Series:Springer Optimization and Its Applications
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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