SOM classifier
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| − | SOM (Self Organizing Map) classifier generates two dimensional artificial neural network and trains the network with given associations. As a consequence topics with similar associations end up to locate near each other in the neural network. After training Wandora user can view, analyze, and create new association using the neural network. For example, a grouping association can be created to represent topic similarity. | + | [http://en.wikipedia.org/wiki/Self-organizing_map SOM] (Self Organizing Map) classifier generates two dimensional artificial neural network and trains the network with given associations. As a consequence topics with similar associations end up to locate near each other in the neural network. After training Wandora user can view, analyze, and create new association using the neural network. For example, a grouping association can be created to represent topic similarity. |
Revision as of 18:59, 28 August 2008
SOM (Self Organizing Map) classifier generates two dimensional artificial neural network and trains the network with given associations. As a consequence topics with similar associations end up to locate near each other in the neural network. After training Wandora user can view, analyze, and create new association using the neural network. For example, a grouping association can be created to represent topic similarity.
