45 search results - page 1 / 9 » A Game-Theoretic Approach to Competitive Learning in Self-Or... |
ICNC
2005
Springer
13 years 9 months ago
2005
Springer
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
CCIW
2009
Springer
13 years 11 months ago
2009
Springer
The paper presents a novel Motor Map neural network for re-indexing color mapped images. The overall learning process is able to smooth the local spatial redundancy of the indexes ...
DMIN
2008
13 years 5 months ago
2008
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
SMC
2007
IEEE
13 years 10 months ago
2007
IEEE
— The growing Recurrent Self-Organizing Map (GRSOM) is embedded into a standard Self-Organizing Map (SOM) hierarchy. To do so, the KDD benchmark dataset from the International Kn...
APIN
2004
13 years 4 months ago
2004
A rough self-organizing map (RSOM) with fuzzy discretization of feature space is described here. Discernibility reducts obtained using rough set theory are used to extract domain k...