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My mentor gave me some useful advices after I finished all the codes of BayesianGaussianMixture and DirichletProcessGaussianMixture . So in these two weeks, I fixed the style problems and did all the necessary test cases for BayesianGaussianMixture . I also did the visualization of Gaussian mixture with variational inference for four types of precision using matplotlib.animation , link

Next step, I will explore some optional tasks which are incremental learning and other covariance estimators besides the test cases of DirichletProcessGaussianMixture .

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