title: Clustering by fuzzy neural gas and evaluation of fuzzy clusters.
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.
authors.affiliation: Computational Intelligence Group, University of Applied Sciences Mittweida, Technikumplatz 17, 09648 Mittweida, Germany.
authors.forename: Tina
authors.initials: T
authors.lastname: Geweniger
authors.affiliation: Computational Intelligence Group, University of Applied Sciences Mittweida, Technikumplatz 17, 09648 Mittweida, Germany.
authors.forename: Lydia
authors.initials: L
authors.lastname: Fischer
authors.affiliation: Computational Intelligence Group, University of Applied Sciences Mittweida, Technikumplatz 17, 09648 Mittweida, Germany.
authors.forename: Marika
authors.initials: M
authors.lastname: Kaden
authors.affiliation: Computational Intelligence Group, University of Applied Sciences Mittweida, Technikumplatz 17, 09648 Mittweida, Germany.
authors.forename: Mandy
authors.initials: M
authors.lastname: Lange
authors.affiliation: Computational Intelligence Group, University of Applied Sciences Mittweida, Technikumplatz 17, 09648 Mittweida, Germany.
authors.forename: Thomas
authors.initials: T
authors.lastname: Villmann
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D017143:Fuzzy Logic; D016571:Neural Networks, Computer