An Experimental Study on Asymmetric Self-Organizing Map

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...

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Bibliographic Details
Published inIntelligent Data Engineering and Automated Learning - IDEA 2011 Vol. 6936; pp. 42 - 49
Main Author Olszewski, Dominik
Format Book Chapter
LanguageEnglish
Published Germany Springer Berlin / Heidelberg 2011
Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
Subjects
Artificial intelligence
Asymmetric Self-Organizing Map
Heart rhythm recognition
Information retrieval
Self-Organizing Map
Sound recognition
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Summary: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.
ISBN:9783642238772
3642238777
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-23878-9_6