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[3542] Artykuł: Application of genetic algorithms and Kohonen networks to cluster analysisCzasopismo: Lecture Notes in Artificial Intelligence Tom: 3070, Strony: 556-561ISSN: 0302-9743 ISBN: 3-540-22123-9 Wydawca: SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY Opublikowano: 2004 Seria wydawnicza: Lecture Notes in Artificial Intelligence Autorzy / Redaktorzy / Twórcy Grupa MNiSW: Publikacja w czasopismach wymienionych w wykazie ministra MNiSzW (część A) Punkty MNiSW: 0 Klasyfikacja Web of Science: Article; Proceedings Paper Pełny tekst DOI Web of Science |
The paper presents two methods offering flexible solutions to cluster-analysis problems. The first one employs a genetic-algorithm-based Travelling-Salesman-Problem-solution, and the second one - self-organizing Kohonen networks. The operation of both techniques has been illustrated with the use of synthetic data set and then they have been tested by means of real-life, multidimensional Mushrooms Database (8124 records) available from the FTP server of the University of California at Irvine (ftp.ics.uci.edu).