Fuzzy labeled self-organizing map with kernel-based topographic map formation

Authors:
Iván Machón González;Hilario López García
Affiliations:
Universidad de Oviedo, Escuela Politécnica Superior de Ingeniería, Departamento de Ingeniería Eléctrica, Electrónica de Computadores y Sistemas, Edificio Departamental, Gi ...;Universidad de Oviedo, Escuela Politécnica Superior de Ingeniería, Departamento de Ingeniería Eléctrica, Electrónica de Computadores y Sistemas, Edificio Departamental, Gi ...
Venue:
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Year:
2007

Citing 6
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Abstract

Fuzzy Labeled Self-Organizing Map is a semisupervised learning that allows the prototype vectors to be updated taking into account information related to the clusters of the data set. In this paper, this algorithm is extended to update individually the kernel radii according to Van Hulle's approach. A significant reduction of the mean quantization error of the numerical prototype vectors is expected.