Gintautas Dzemyda

(Author)

Multidimensional Data Visualization: Methods and Applications (2013)Paperback - 2013, 13 December 2014

Multidimensional Data Visualization: Methods and Applications (2013)
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Part of Series
Springer Optimization and Its Applications
Print Length
252 pages
Language
English
Publisher
Springer PG
Date Published
13 Dec 2014
ISBN-10
1489990003
ISBN-13
9781489990006

Description

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 is discussed.

The encorporation 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 different visualization techniques that are presented.

This book is intended for scientists and researchers in any field of study where complex and multidimensional data must be represented visually.

Product Details

Authors:
Gintautas DzemydaOlga KurasovaJulius Zilinskas
Book Edition:
2013
Book Format:
Paperback
Country of Origin:
NL
Date Published:
13 December 2014
Dimensions:
23.39 x 15.6 x 1.4 cm
ISBN-10:
1489990003
ISBN-13:
9781489990006
Language:
English
Location:
New York, NY
Pages:
252
Publisher:
Weight:
371.95 gm

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