INFORMATICA International Journal Main Page Editorial Board Abstracting/Indexing Instructions to Authors Subscription Information Contents Author Index Papers in Production		INFORMATICA, 2011, Vol. 22, No. 1, 115-134 © Institute of Mathematics and Informatics, ISSN 0868-4952 Quality of Quantization and Visualization of Vectors Obtained by Neural Gas and Self-Organizing Map Olga KURASOVA, Alma MOLYTE Vilnius University, Institute of Mathematics and Informatics Akademijos 4, LT-08663 Vilnius, Lithuania Vilnius Pedagogical University Studentu 39, LT-08106 Vilnius, Lithuania E-mail: olga.kurasova@mii.vu.lt, alma.molyte@gmail.com Abstract In this paper, the quality of quantization and visualization of vectors, obtained by vector quantization methods (self-organizing map and neural gas), is investigated. A multidimensional scaling is used for visualization of multidimensional vectors. The quality of quantization is measured by a quantization error. Two numerical measures for proximity preservation (Konig's topology preservation measure and Spearman's correlation coefficient) are applied to estimate the quality of visualization. Results of visualization (mapping images) are also presented. Keywords: self-organizing map, neural gas, multidimensional scaling, quantization error, proximi-\break ty preservation, Konig's measure, Spearman's rho To preview Lithuanian abstract see full article text To preview full article text in PDF format click here You could obtain free Acrobat Reader from Adobe
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