Self-Organizing Maps
SOM of SOMs: self-organizing map which maps a group of self-organizing maps
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
An online adaptation control system using mnSOM
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
Modular network SOM: theory, algorithm and applications
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
| Hi-index | 0.00 |
This paper presents a generalized framework of a self-organizing map (SOM) applicable to more extended data classes rather than vector data. A modular structure is adopted to realize such generalization; thus, it is called a modular network SOM (mnSOM), in which each reference vector unit of a conventional SOM is replaced by a functional module. Since users can choose the functional module from any trainable architecture such as neural networks, the mnSOM has a lot of flexibility as well as high data processing ability. In this paper, the essential idea is first introduced and then its theory is described.