Supervised Classification with Associative SOM
This paper presents an extension of the Self Organizing Map model called Associative SOM that is able to process different types of input data in separated data-paths. The ASOM model can easily deal with situations of incomplete data-patterns and incorporate class labels for supervisory purposes. The ASOM is successfully compared with Multilayer Perceptrons in the incremental classification of six erythemato-squamous diseases, where only partial data is available in successive steps.
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- 1.J.D. Buldain, A. Roy: Association with Multi-Dendritic Radial Basis Units. IWANN 99, Lecture Notes in Computer Science 1606, Foundations and Tools for Neural Modeling (1999)573–581Google Scholar
- 3.T. Kohonen. The self-organizing map. In Proc. IEEE, volumen 78, pages 1464–1480,1990.Google Scholar
- 4.T. Kohonen. Self-Organization and Associative Memory, Springer Series In Information Sciences 8. Springer, Heidelberg, 1984.Google Scholar
- 5.H. Ritter. Parametrized selft-organizing maps. In S. Gielen and B. Kappen, editors, ICANN93-Proceddings, Amsterdam, pages 568–575. Springer Verlag, Berlin, 1993.Google Scholar