Multidimensional Data Visualization - Methods and Applications (Paperback, 2013 ed.)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Optimization and Its Applications, 75
Release date:	December 2014
First published:	2013
Authors:	Gintautas Dzemyda • Olga Kurasova • Julius Zilinskas
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Paperback
Pages:	252
Edition:	2013 ed.
ISBN-13:	978-1-4899-9000-6
Categories:	Books > Science & Mathematics > Mathematics > Combinatorics & graph theory Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Science & Mathematics > Mathematics > Optimization > General Books > Computing & IT > Computer software packages > Computer graphics software > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	1-4899-9000-3
Barcode:	9781489990006

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