By Gintautas Dzemyda
This e-book highlights fresh advancements in multidimensional facts visualization, presenting both new methods and modifications on classic techniques. Throughout the book, quite a few applications of multidimensional facts visualization are offered together with its uses in social sciences (economy, schooling, politics, psychology), environmetrics, and medicine (ophthalmology, game drugs, pharmacology, sleep medicine).
The publication presents contemporary study ends up in optimization-based visualization. Evolutionary algorithms and a two-level optimization process, in response to combinatorial optimization and quadratic programming, are analyzed intimately. The functionality of these algorithms and the development of parallel versions are discussed.
The utilization of new visualization techniques to increase the capabilies of artificial neural networks (self-organizing maps, feed-forward networks) is also discussed.
The book includes over a hundred detailed images offering examples of the many different visualization thoughts that the e-book presents.
This publication is meant for scientists and researchers in any box of study where complicated and multidimensional data has to be represented visually.
Read Online or Download Multidimensional Data Visualization: Methods and Applications (Springer Optimization and Its Applications) PDF
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