<!-- If your issue is a usage question, submit it here instead: - StackOverflow with the scikit-learn tag: http://stackoverflow.com/questions/tagged/scikit-learn - Mailing List: https://mail.python.org/mailman/listinfo/scikit-learn For more information, see User Questions: http://scikit-learn.org/stable/support.html#user-questions --> <!-- Instructions For Filing a Bug: https://github.com/scikit-learn/scikit-learn/blob/master/CONTRIBUTING.md#filing-bugs --> #### Description According to the documentation: mean_precision_prior : ... Smaller values concentrate the means of each clusters around mean_prior. ... However, for me with a large precision prior the mean_prior is preserved and for low values the the posterior mean shows stronger variation. #### Steps/Code to Reproduce Try on data of your choice, set a mean_prior and compare results for large and small mean_precision_prior (1e-10, 1e+10). #### Versions Windows-10-10.0.15063-SP0 Python 3.6.5 |Anaconda, Inc.| (default, Mar 29 2018, 13:32:41) [MSC v.1900 64 bit (AMD64)] NumPy 1.14.3 SciPy 1.1.0 Scikit-Learn 0.19.1 <!-- Thanks for contributing! -->