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2007
Springer

Relational Neural Gas

10 years 10 months ago
Relational Neural Gas
Abstract. Prototype-based clustering algorithms such as the Self Organizing Map (SOM) or Neural Gas (NG) offer powerful tools for automated data inspection. The distribution of prototypes, however, does not coincide with the underlying data distribution and magnification control is necessary to obtain information theoretic optimum maps. Recently, several extensions of SOM and NG to general non-vectorial dissimilarity data have been proposed, such as Relational NG (RNG). Here, we derive a magnification control scheme for RNG based on localized learning, and we demonstrate its applicability for various data sets.
Barbara Hammer, Alexander Hasenfuss
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where KI
Authors Barbara Hammer, Alexander Hasenfuss
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