for each input in inputs, op_som will have a numbering between 1 to n based on which cluster it belongs to.
I'm using the SOM toolbox and have created the following: net = selforgmap([10 10)]; [net,tr] = train(net,inputs); where 'inputs' is a 5x10000 matrix of 5 parameters with 10000 samples. using plotsomhits(net,inputs); shows how the 10000 samples are getting clustered. Question: How do I output where each individual vector is clustered? For example where on the 10x10 grid is vector #1 located?
Neeta Dsouza answered .
2025-11-20
net = selforgmap([10 10]); [net,tr] = train(net,inputs); % Classify input data op_som = vec2ind(net(inputs))';