how to classify with svm
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I have a number of photos that I have featured, that is, 11 properties for each photo. The number of photos is 770. I saved the data to an Excel file, which is 11 * 770.
How should I read this file?
And how do I train an SVM model using these features with svm (rbf, mlp, lvq)?
For svm, I need to take input from the Excel file.
Please help me soon.
Bernhard Suhm on 1 Feb 2018
The table needs to have the various observations as rows. Alternatively to the ClassificationLearnerApp, you can train an SVM using the fitcsvm() function.
You can switch to a different kernel using the 'KernelFunction' input argument, for RBF it would be 'rbf'.
See https://www.mathworks.com/help/stats/fitcsvm.html for more details.