How to train data using self organising map?

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?

Answer 1

[Akshat]

Greetings @AS,

To use Self Organising Map, MATLAB has a function called "selforgmap". All information about this function can be found at the following documentation link:

https://www.mathworks.com/help/deeplearning/ref/selforgmap.html

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.

https://www.mathworks.com/help/deeplearning/ref/plotsom.html

Hope this helps.