Multidimensional Data Visualization Methods and Applications

Multidimensional Data Visualization Methods and Applications / by Gintautas Dzemyda, Olga Kurasova, Julius Žilinskas.

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 (Author), Kurasova, Olga (Author), Žilinskas, Julius (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:Springer Optimization and Its Applications, 75
Springer eBook Collection.
Subjects:
Mathematical optimization.
Computer simulation.
Mathematics.
Visualization.
Artificial intelligence.
Electronic resources (E-books)
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Call Number: E-Book
Status: Available

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