How to train data using self organising map?
显示 更早的评论
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?
回答（1 个）
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.
类别
在 帮助中心 和 File Exchange 中查找有关 Get Started with Statistics and Machine Learning Toolbox 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
