# Are there any advantages of k-means over Gaussian Mixture (Expectation minimization)?

In other words, if I already included Gaussian mixture into the analysis, does it make sense to add also k-means, as GM clustering is a generalization of k-means?

• The two models are different, hence it is a matter of deciding on which model makes sense the most, I would say. – Xi'an Jun 17 at 17:22