How to train data using self organising map?
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I have a data with dimension 289 by 30. And I want to train the data using SOM to classify the data. How to classify the data using SOM?
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Akshat
2024-11-5
To use Self Organising Map, MATLAB has a function called "selforgmap". All information about this function can be found at the following documentation link:
A boilerplate code in which you can just plug in your data is as follows:
data = rand(289, 30); % Replace with your actual data
data = normalize(data);
% Define the dimensions of the SOM grid
somDims = [10 10];
som = selforgmap(somDims);
som = train(som, data');
% View the SOM
plotsom(som.iw{1,1}, som.layers{1}.distances)
The documentation for "plotsom" is as follows. This helps in visualising the SOM.
Hope this helps.
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