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Multidimensional Data Visualization

Methods and Applications

By: Gintautas Dzemyda,Olga Kurasova,Julius Žilinskas

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Multidimensional Data Visualization

Methods and Applications

By: Gintautas Dzemyda,Olga Kurasova,Julius Žilinskas

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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Page Count

262

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1441902368

ISBN 13

9781441902368

Multidimensional Data Visualization

Methods and Applications

By: Gintautas Dzemyda,Olga Kurasova,Julius Žilinskas

Write a review Read reviews Take a Quiz Solve Book Puzzle

Multidimensional Data Visualization

Methods and Applications

By: Gintautas Dzemyda,Olga Kurasova,Julius Žilinskas

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.

Average ratings

N/A

5

0%

4

0%

3

0%

2

0%

1

0%

Solve jigsaw puzzle

Age

Page Count

262

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1441902368

ISBN 13

9781441902368