The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here
Visualization of Self-Organizing Maps (U-matrix with points)
Learner IIIHi!
I am in doubt of what I'm actually visualizing with my U-matrix of the SOM.
I have a lot of data of which I've removed a label from.
This data is fed to the SOM which are then trained. The output of the SOM are then joined with the removed label from the original data.
This joined dataset is visualized with a U-Matrix - on top of that, the points corresponding to the label is plotted on top of this U-Matrix.
What am I looking at here? I'm in doubt of why and how the points distribute as they do.
I hope it makes sense
Cheers!
Tagged:
0
Answers
hello @adwe welcome to the community. Perhaps you can help by posting your XML and data set as described https://community.rapidminer.com/t5/Getting-Started-Knowledge-Base/READ-ME-HOW-TO-POST-QUESTIONS-ON-THE-RAPIDMINER-USER-COMMUNITY/ta-p/49485?
Scott
Thanks for your answer.
U-Matrix
Unfortunately I'm no longer in possesion of the XML - my computer broke down..
But, this is the resulting U-Matrix
The points are supposed to be the plotted class labels that were joined with the resulting SOM data - but I can't figure why there are so few and how it is supposed to be interpreted.
I know the basics about how a self-organizing map works and what a U-Matrix shows, but can't seem to understand this.