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I've reviewed weeks worth of material and everyone stops at identifying the winning neuron and plotting the SOM.

However, how do I actually use this output?

PythNoob
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Unsupervised SOMs are mainly used for clustering and visualization.

Clustering: Find datapoints which have their winning neuron close to each other. These datapoints share similarities and might belong to the same cluster or class.

Visualization: Plot the SOM grid and try to include the information about the winning neuron per datapoint into it. Examples are the World Poverty Map, RGB clustering, and this blobs example.

felice
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