Detection of locally relevant variables using SOM–NG algorithm

The SOM–NG algorithm is a combination of the Self-Organizing Map and the Neural Gas algorithms. It was developed to combine quantization and topological preservation. The algorithm also has a supervised version to create local linear models of scalar fields in the defined Voronoi regions. In this wo...

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Veröffentlicht in:	Engineering applications of artificial intelligence 2013-09, Vol.26 (8), p.1992-2000
Hauptverfasser:	Crespo-Ramos, Mario J., Machón-González, Iván, López-García, Hilario, Calvo-Rolle, José Luis
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Expert systems Feature selection Fuzzy Fuzzy logic Fuzzy set theory Gradient analysis Local influence Mathematical models Methodology Scalars
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