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INFORMATICALT
2011

Quality of Quantization and Visualization of Vectors Obtained by Neural Gas and Self-Organizing Map

8 years 7 months ago
Quality of Quantization and Visualization of Vectors Obtained by Neural Gas and Self-Organizing Map
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.
Olga Kurasova, Alma Molyte
Added 14 May 2011
Updated 14 May 2011
Type Journal
Year 2011
Where INFORMATICALT
Authors Olga Kurasova, Alma Molyte
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