automated feature generation with matlab?
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I am searching for a good method to generate automated features from my dataset, which I can use to put in a classifier. My dataset contains signals (for example acceleration), so it is numeric.
I already tried autoencoder and sparsefilter, but they seem only to work properly if there are features available already.
My aim is to generate features from the dataset. Is there another algorithm I can try? Maybe a better neural network (with more hidden layers)? And if I can use a better neural network, how can I get the features out of it?
Every suggestion is very much appreciated!
Ramanuja Jagannathan on 4 May 2018
Can you provide the problem you are trying to classify, so that a better solution could be provided. Nevertheless, if the objective is to do classification on the 1 dimensional data, you could have a look at the classification learner app. https://www.mathworks.com/help/stats/classification-learner-app.html
You could also have a look at the Predictive maintenance toolbox for analyzing and labeling machine data. https://www.mathworks.com/help/predmaint/index.html
Also, have a look at our examples on neural network problems, one of which might be helpful for your problem. https://www.mathworks.com/help/nnet/examples.html