Hi Sydney,
To obtain and analyze the output matrix for your test data in a Self-Organizing Map (SOM) in MATLAB 2020b, follow these steps:
1. Get Network Outputs for Test Data:
outputs = net(testData);
2. Convert Outputs to Winning Neuron Indices: winningNeurons contains indices of the winning neurons for each test observation, indicating their placement on the SOM grid .
winningNeurons = vec2ind(outputs);
3. Visualize the SOM Hit Map:
plotsomhits(net, testData);
This visualizes where each observation is placed on the SOM grid.
These steps provide both the indices of winning neurons for analysis and a visual representation of the test data distribution on the SOM.
Hope it helps!