GMM for classification: how to avoid the super tiny number in results

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.

Answer 1

[Jang Bahadur Singh]

Actually, probability density function sum to 1, check it. try: look for major peak, check code, use more data, change y-axis.