think of think of a Gaussian mixture model a Gaussian mixture model defined in terms of covariance means and covariances we're now the means and covariances are defined in terms of these different tiles pardon me so okay what's the best way to describe it so start from start from a hard VQ where we have a tiling now you have because of the power diagram you have a radius and you have a centroid now use that radius in that centroid as the per to develop a Gaussian mixture model for example a you know circle a symmetric Gaussian mixture