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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Combined Unsupervised-Supervised Classification Method
verfasst von : Urszula Markowska-Kaczmar, Tomasz Switek
Erschienen in: Knowledge-Based and Intelligent Information and Engineering Systems
Verlag: Springer Berlin Heidelberg
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In the paper a novel method of classification is presented. It is a combination of unsupervised and supervised techniques. First, the method divides the set of learning patterns into smaller ones in the clustering process. At the end of this phase a hierarchical structure of Self Organizing Map is obtained. Then for the leaves the classification rules are searched. To this end Bee Algorithm is used. The accuracy of the method was evaluated in an experimental way with the use of benchmark data sets and compared with the result of other methods.