Dimension Reduction and Data Visualization Using Neural Networks

Authors:
Gintautas Dzemyda;Olga Kurasova;Viktor Medvedev
Affiliations:
Institute of Mathematics and Informatics, Vilnius, Lithuania;Institute of Mathematics and Informatics, Vilnius, Lithuania;Institute of Mathematics and Informatics, Vilnius, Lithuania
Venue:
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
Year:
2007

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Abstract

The problem of visual presentation of multidimensional data is discussed. The projection methods for dimension reduction are reviewed. The chapter deals with the artificial neural networks that may be used for reducing dimension and data visualization, too. The stress is put on combining the selforganizing map (SOM) and Sammon mapping and on the neural network for Sammon's mapping SAMANN. Large scale applications are discussed: environmental data analysis, statistical analysis of curricula, comparison of schools, analysis of the economic and social conditions of countries, analysis of data on the fundus of eyes and analysis of physiological data on men's health.