SOM classifier

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.

To start with SOM classifier select large number of binary associations and select SOM classifier... in context of your selection. Classifier requests first grouping role. Grouping role players specify labels for the training vectors.