Abstract
The paper presents an extension of the justification for use of the asymmetric Self-Organizing Map (SOM). We claim that it can successfully applied in the wider area of research than the textual data analysis. The results of our experimental study in the fields of sound recognition and heart rhythm recognition confirm this claim, and report the superiority of the asymmetric approach over the symmetric one, in both parts of our experiments.
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Olszewski, D. (2011). An Experimental Study on Asymmetric Self-Organizing Map. In: Yin, H., Wang, W., Rayward-Smith, V. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2011. IDEAL 2011. Lecture Notes in Computer Science, vol 6936. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23878-9_6
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DOI: https://doi.org/10.1007/978-3-642-23878-9_6
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