Multidimensional Data Visualization Methods and Applications /

• Main Authors: Dzemyda, Gintautas (Author), Kurasova, Olga (Author), Žilinskas, Julius (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Series: Springer Optimization and Its Applications, 75
• Subjects: Mathematics.; Artificial intelligence.; Computer simulation.; Visualization.; Mathematical optimization.; Optimization.; Simulation and Modeling.; Artificial Intelligence (incl. Robotics).

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...

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.