I have a labelled data set, each data entry is of six dimensional. Each data entry is pre-labelled as belonging to one of 10 clusters.
I would like to train a SOM to fit this labelled data set. In other words, I would like to enforce a SOM that can exactly( or almost) cluster the same result to each data entry as the pre-labelled one.
Is there a function in the MATLAB neural network toolbox that can fulfill the above requirement?
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