Combined Unsupervised-Supervised Classification Method

Authors:
Urszula Markowska-Kaczmar;Tomasz Switek
Affiliations:
Wroclaw University of Technology, Wroclaw, Poland;Wroclaw University of Technology, Wroclaw, Poland
Venue:
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Year:
2009

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Abstract

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.