Suppose that I performed clustering of iris.data using SOM Toolbox in Matlab. After clustering, I have an input vector and I want to see which cluster this input belongs to? Any tips please on how to map an input pattern into a trained SOM map.
Once you have trained the SOM, you can classify a new input vector by assigning it to the nearest node in the grid (Best Matching Unit BMU) which have the closest weights. We predict the majority class of the training vectors belonging to that BMU node as the target class of the test instance.