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 book presents a variety of methods used? in multidimensional data visualization. It details new research results and trends in the field, including optimization, artificial neural networks, combinations of algorithms, and parallel computing.
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 (oplĂ
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