Introduction to Self Organizing Maps in R

This semester I’ve been playing around with Self Organizing Maps (SOMs) using the “kohonen” package in R. SOMs allow you to visualize very high dimensional data in a simplified two dimensional map which preserves proximity. I’ve written up an introductory tutorial on getting started making SOMs using the kohonen package:

https://clarkdatalabs.github.io/soms/SOM_NBA

This workshop plays around with NBA player stats from the 2015/2016 season. Disclaimer: I know next to nothing about basketball.

Self Organizing Map depicting NBA Player Position Predictions

If you like this post, keep an eye out for the next one. In the next month I’ll put out a tutorial on using SOMs to┬ávisualize the text-mined works of Shakespeare. Disclaimer: I know next to nothing about the works of Shakespeare.

 

Leave a Reply

Your email address will not be published. Required fields are marked *