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Multidimensional Data Visualization - Methods and Applications (Hardcover, 2012 ed.): Gintautas Dzemyda, Olga Kurasova, Julius... Multidimensional Data Visualization - Methods and Applications (Hardcover, 2012 ed.)
Gintautas Dzemyda, Olga Kurasova, Julius Zilinskas
R3,062 R1,911 Discovery Miles 19 110 Save R1,151 (38%) Ships in 10 - 15 working days

This book highlights recent developments in multidimensional data visualization, presenting both new methods and modifications on classic techniques. Throughout the book, various applications of multidimensional data visualization are presented including its uses in social sciences (economy, education, politics, psychology), environmetrics, and medicine (ophthalmology, sport medicine, pharmacology, sleep medicine).

The book provides recent research results in optimization-based visualization. Evolutionary algorithms and a two-level optimization method, based on combinatorial optimization and quadratic programming, are analyzed in detail. The performance of these algorithms and the development of parallel versions is discussed.

The encorporation of new visualization techniques to improve the capabilies of artificial neural networks (self-organizing maps, feed-forward networks) is also discussed.

The book includes over 100 detailed images presenting examples of the different visualization techniques that are presented.

This book is intended for scientists and researchers in any field of study where complex and multidimensional data must be represented visually.

Multidimensional Data Visualization - Methods and Applications (Paperback, 2013 ed.): Gintautas Dzemyda, Olga Kurasova, Julius... Multidimensional Data Visualization - Methods and Applications (Paperback, 2013 ed.)
Gintautas Dzemyda, Olga Kurasova, Julius Zilinskas
R2,058 Discovery Miles 20 580 Ships in 18 - 22 working days

This book highlights recent developments in multidimensional data visualization, presenting both new methods and modifications on classic techniques. Throughout the book, various applications of multidimensional data visualization are presented including its uses in social sciences (economy, education, politics, psychology), environmetrics, and medicine (ophthalmology, sport medicine, pharmacology, sleep medicine). The book provides recent research results in optimization-based visualization. Evolutionary algorithms and a two-level optimization method, based on combinatorial optimization and quadratic programming, are analyzed in detail. The performance of these algorithms and the development of parallel versions are discussed. The utilization of new visualization techniques to improve the capabilies of artificial neural networks (self-organizing maps, feed-forward networks) is also discussed. The book includes over 100 detailed images presenting examples of the many different visualization techniques that the book presents. This book is intended for scientists and researchers in any field of study where complex and multidimensional data must be represented visually.

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