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ICNC
2005
Springer
13 years 11 months ago
A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps
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...
Joseph P. Herbert, Jingtao Yao
IJCNN
2000
IEEE
13 years 10 months ago
Adding a Healing Mechanism in the Self-Organizing Feature Map Algorithm
It is often reported in the technique literature that the success of the self-organizing feature map (SOM) formation is critically dependent on the initial weights and the selectio...
Mu-Chun Su, Chien-Hsing Chou, Hsiao-Te Chang
DATAMINE
2010
120views more  DATAMINE 2010»
13 years 5 months ago
A weighted voting summarization of SOM ensembles
Abstract Weighted Voting Superposition (WeVoS) is a novel summarization algorithm for the results of an ensemble of Self-Organizing Maps. Its principal aim is to achieve the lowest...
Bruno Baruque, Emilio Corchado
IJCNN
2008
IEEE
13 years 12 months ago
Batch-Learning Self-Organizing Map with false-neighbor degree between neurons
Abstract— This study proposes a Batch-Learning SelfOrganizing Map with False-Neighbor degree between neurons (called BL-FNSOM). False-neighbor degrees are allocated between adjac...
Haruna Matsushita, Yoshifumi Nishio