I'm new to Matlab, I'm wondering if someone can help me to get start with machine learning task.
I would like to perform Linear discriminant analysis (LDA) or support vector machine (SVM) classification on my small data set (matrix of features extracted from ECG signal), 8 features (attributes). The task is binary classification into a preictal state (class 1) and interictal state (class 2).
In Matlab, I found (Classification learner app), which enable using different kinds of classifiers including SVM, but I don't know if I can use the input data that I have to train the classifier in this app?. I'm not sure how to start? Do you have any idea about this app? please help!
you can find step by step guide on mathworks page
https://www.mathworks.com/help/stats/select-data-and-validation-for-classification-problem.html
You may use these below links......
https://in.mathworks.com/products/statistics/classification-learner.html
https://in.mathworks.com/help/stats/select-data-and-validation-for-classification-problem.html
One video link is also given below...
https://www.mathworks.com/videos/classify-data-using-the-classification-learner-app-106171.html
Thank you all for your reply. On the Classification Learner tab, in the Features section, I would like to enable a PCA(principal component analysis). I have followed the steps in the links, but the train is failed when I enable the PCA. the error:
too many input argument or
index exceeds matrix dimension
Any help please?.
Thank you for your help. I did all theses steps, but still facing the same problem. My data set is a (matrix 38*9) . 9 columns, the first 8 columns are features( predictor), and the last column is label (responses ). 38 is observations. I check the option to use columns as a variables (features).
you can find step by step guide on mathworks page
https://www.mathworks.com/help/stats/select-data-and-validation-for-classification-problem.html
By, this post i need one small clarification regarding Classification Learner app from MATLAB 2015b Onwards.
is Classification Learner app is provide correct accuracy using many classifiers mentioned in that?
Thanks with regard.
I made a youtube video for this. See https://www.youtube.com/watch?v=Db9Bnss8b-8&t=68s
Thanks
Anselm
Fulin Wei ... in the export tab you can find Export plot to figure bottom ... that will export any figure that you opened in you local devices
https://au.mathworks.com/help/stats/train-classification-models-in-classification-learner-app.html
You can see this
https://stackoverflow.com/questions/39685106/how-to-pass-dataset-in-classification-learner-app-of-matlab
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