Hi,
Once you have computed the histogram features, you can make use of the “fitcsvm” function to pass the histogram features in the function in order to train the SVM classifier. Refer to an example use of the “fitcsvm” function:
labels = [1, -1, 1, -1]; % Example labels
SVMModel = fitcsvm(histFeatures, labels, 'KernelFunction', 'linear');
After the model is trained you can use the “predict” function to predict new data.
For more information on the “fitcsvm” function and “predict" function, refer to the below documentation:
- fitcsvm: https://www.mathworks.com/help/stats/fitcsvm.html
- predict: https://www.mathworks.com/help/stats/linearmodel.predict.html
