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Computational Intelligence and Neuroscience
Volume 2013, Article ID 165248, 10 pages
http://dx.doi.org/10.1155/2013/165248
Research Article

Clustering by Fuzzy Neural Gas and Evaluation of Fuzzy Clusters

Computational Intelligence Group, University of Applied Sciences Mittweida, Technikumplatz 17, 09648 Mittweida, Germany

Received 31 May 2013; Accepted 3 October 2013

Academic Editor: Christian W. Dawson

Copyright © 2013 Tina Geweniger et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We consider some modifications of the neural gas algorithm. First, fuzzy assignments as known from fuzzy c-means and neighborhood cooperativeness as known from self-organizing maps and neural gas are combined to obtain a basic Fuzzy Neural Gas. Further, a kernel variant and a simulated annealing approach are derived. Finally, we introduce a fuzzy extension of the ConnIndex to obtain an evaluation measure for clusterings based on fuzzy vector quantization.