Self-Organizing Maps
Neural Networks
Neural Networks
Line Image Classification by NG×SOM: Application to Handwritten Character Recognition
WSOM '09 Proceedings of the 7th International Workshop on Advances in Self-Organizing Maps
Evaluation of Color Constancy Vision Algorithm for Mobile Robots
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Environment recognition system based on multiple classification analyses for mobile robots
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Development of the color constancy vision algorithms using bio-inspired information processing
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
A novel self-organizing map (SOM) neural network for discrete groups of data clustering
Applied Soft Computing
Improving the generalization of fisherface by training class selection using SOM2
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Self-organizing map with input data represented as graph
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Generalization of the self-organizing map: from artificial neural networks to artificial cortexes
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
SOM of SOMs: an extension of SOM from ‘map' to ‘homotopy'
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
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This paper aims to propose an extension of SOMs called an “SOM of SOMs,” or SOM2, in which the mapped objects are self-organizing maps themselves. In SOM2, each nodal unit of the conventional SOM is replaced by a function module of SOM. Therefore, SOM2 can be regarded as a variation of a modular network SOM (mnSOM). Since each child SOM module in SOM2 is trained to represent a manifold, the parent SOM in SOM2 generates a self-organizing map representing the distribution of the group of manifolds modeled by the child SOMs. This extension of SOM is easily generalized in the case of SOMn, such that “SOM2 as SOM of SOM2s.” In this paper, the algorithm of SOM2 is introduced, and some simulation results are reported.