Clustering by Fuzzy Neural Gas and Evaluation of Fuzzy Clusters

Abstract EN

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.