Multidimensional Data Visualization: Methods and Applications eBook

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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.

This is a digital product.

Multidimensional Data Visualization: Methods and Applications is written by Gintautas Dzemyda; Olga Kurasova; Julius Žilinskas and published by Springer. The Digital and eTextbook ISBNs for Multidimensional Data Visualization are 9781441902368, 1441902368 and the print ISBNs are 9781441902351, 144190235X.