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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. - Presents an overview of multidimensional data visualization- Provides backgroud to construction, analysis, and implementation of optimization algorithms for visualization of multidimensional data- Shows benefits of artificial neu. N° de réf. du vendeur 4171965
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 264 pp. Englisch. N° de réf. du vendeur 9781441902351
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Buch. Etat : Neu. Neuware -This book highlights recent developments in multidimensional data visualization, presentingboth new methodsandmodifications onclassic techniques.Throughout thebook, various applications ofmultidimensional data visualizationare presented including itsuses insocial sciences (economy, education, politics, psychology), environmetrics, andmedicine (ophthalmology, sport medicine, pharmacology, sleep medicine).The book provides recent research results in optimization-based visualization. Evolutionary algorithmsand atwo-level optimization method, based on combinatorial optimization and quadratic programming, are analyzed in detail. The performance of thesealgorithms and thedevelopment of parallelversionsare discussed.Theutilization of newvisualization techniquesto improve thecapabilies ofartificial neural networks (self-organizing maps, feed-forward networks)is alsodiscussed.The bookincludesover 100 detailedimages presenting examples of the manydifferent visualization techniques thatthe book presents.This book is intended for scientists and researchers inany field of studywhere complex andmultidimensionaldata must be represented visually.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 264 pp. Englisch. N° de réf. du vendeur 9781441902351
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9781441902351
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