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Multidimensional Data Visualization: Methods and Applications
     

Multidimensional Data Visualization: Methods and Applications

by Gintautas Dzemyda, Olga Kurasova, Julius Zilinskas
 

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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

Overview

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.

Product Details

ISBN-13:
9781441902351
Publisher:
Springer New York
Publication date:
11/30/2012
Series:
Springer Optimization and Its Applications Series , #75
Edition description:
2012
Pages:
252
Product dimensions:
6.10(w) x 9.25(h) x 0.03(d)

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