Clustering by Fuzzy Neural Gas and Evaluation of Fuzzy Clusters

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 app...

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Detalles Bibliográficos
Autores principales: Geweniger, Tina, Fischer, Lydia, Kaden, Marika, Lange, Mandy, Villmann, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3876777/
https://www.ncbi.nlm.nih.gov/pubmed/24396342
http://dx.doi.org/10.1155/2013/165248
Descripción
Sumario: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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