MATLAB: Self Organizing Maps

Deep Learning Toolboxneural networkself organizing maps

Hi,
I use the neural network toolbox of Matlab R2010a (not Kohonen somtoolbox). I use SOM to classify water radiances spectra. I cannot find in the plot tools how to represent each neuron with his reference vector (prototype spectrum), which is a statistical mean of all the spectra captured by the neuron.
Thank you for your help!

Best Answer

The prototype pattern for each neuron is its weight vector. To see all the neurons' weight vectors:
net.IW
Each row represents the prototype vector for a different neuron.
These row/prototype vectors are what are shown in PLOTSOMPOS graphically, if the network has two or fewer inputs.
Related Question