How to use the existing data for classification?

[Linkersem]

I have a set of one-dimensional data and need to use the EM algorithm to calculate the mean and standard deviation of each Gaussian distribution, but this algorithm seems to only use the data generated by itself?

[kailugaji]

I just updated a repository.
You can refer to this Matlab code: https://github.com/kailugaji/Gaussian_Mixture_Model_for_Clustering

If you only fit one-dimensional data, you can consider using this matlab function ‘fitgmdist()’
Refer to https://www.mathworks.com/help/stats/fitgmdist.html
https://www.mathworks.com/help/stats/fit-a-gaussian-mixture-model-to-data.html

Chinese version: MATLAB用“fitgmdist”函数拟合高斯混合模型(一维数据)

[Linkersem]

Thank you very much for your help, the method you provided has a great meaning to my question.