so in my mixtures of gaussian this is how you try model as a single gaussian and say x is intuitive with mean mu and parameter sigma where sigma is going to be done n by n matrix and so if you work out the maximum likelihood estimate of the parameters you find that the maximum likelihood estimate for the mean is just the empirical mean of your training set, right.