I'm a little confused about the GMM. I need to make clusterization. Actually, I have four dimensions : speed in Km/H, mileAge in Km, acceleration in m/s^2 and braking in m/s(^2). Each of those dimensions appears to be a gaussian. But, for each of this distribution, there is only one gaussian (this is not a mixture of gaussians).
As I understand at the beginnig, because all of my dimensions seems like a gaussian, it was perfect to apply the EM algorythm on it (used by the GMM). But, looking deeper, I start to think that I need to have several gaussian for each dimension.
So my question is : When we talk about "mixture of gaussian", it means to have several gaussians in the same dimension or a mixture of dimensions that contains one gaussian ?