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GMM for classification: how to avoid the super tiny number in results
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Hello, I am a student of control engineering, Recently, I used GMM model to classify the signal types. Firstly, I used gmdistribution.fit function to fit the gmm model for each class. Then, I used the model to compute the probability density of each class.
The problem is that the probability density I got is very small, e.g. 4.2e-40. How to avoid this problem? Thank you very much.
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Jang Bahadur Singh
2017-12-7
Actually, probability density function sum to 1, check it. try: look for major peak, check code, use more data, change y-axis.
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