for each input in inputs, op_som will have a numbering between 1 to n based on which cluster it belongs to.
Question
I'm using the SOM toolbox and have created the following: net = selforgmap([10 10)]; [net,tr] = train(net,inputs); where 'inputs' is a 5x10000 matrix of 5 parameters with 10000 samples. using plotsomhits(net,inputs); shows how the 10000 samples are getting clustered. Question: How do I output where each individual vector is clustered? For example where on the 10x10 grid is vector #1 located?
Expert Answer
Neeta Dsouza
PhD Expert
Answered Nov 20, 2025
Here is an example that should help you:
net = selforgmap([10 10]); [net,tr] = train(net,inputs); % Classify input data op_som = vec2ind(net(inputs))';
100% Run Guarantee
3-Hour Fast-Track Delivery
Need a Custom Version or Complete Simulation for This Problem?
Our 500+ PhD engineers build, debug, and optimize working MATLAB scripts and Simulink (.slx) models tailored to your exact assignment rubrics with zero plagiarism.
Tested on MATLAB R2024b / R2026a
Turnitin 0% Plagiarism Report
Free 7-Day Revisions Guarantee
Have a different question? Ask here
Related deep learning Questions & Solutions
Browse All →
Explore similar technical troubleshooting questions and verified MATLAB solutions:
Ready-to-Run MATLAB & Simulink Projects
Browse All Projects →