fuzzy vector quantization
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2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Tina Geweniger ◽  
Lydia Fischer ◽  
Marika Kaden ◽  
Mandy Lange ◽  
Thomas Villmann

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.


2012 ◽  
Vol 36 ◽  
pp. 83-96 ◽  
Author(s):  
Dimitrios Tsolakis ◽  
George E. Tsekouras ◽  
Antonios D. Niros ◽  
Anastasios Rigos

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