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.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3876777 | PMC |
| http://dx.doi.org/10.1155/2013/165248 | DOI Listing |
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