I have a data set consisting from $7$-dimensional data points. I want to produce a self-organizing map for this data to see how my data is clustered.
I have been reading some tutorials from the internet about SOM and I usually see this classical example of training the SOM to learn colours (the image is cited from http://www.ai-junkie.com/ann/som/som1.html):
I'm a bit confused because I don't know how to produce an image similar to the example above when I have $7$-dimensional data. How is SOM usually visualized with $n$-dimensional data? What should I do specifically?
My question is a bit similar to this question: Self Organizing Maps: How is the location computed and updated?
Thank you for any clarifications!
P.S. I'm using Matlab in my analysis.