Mixture of Gaussian Distributions (MoG)
The dataset used in this paper is a mixture of Gaussian distributions (MoG) with 4 components, each with a 2D Gaussian distribution with means [-1, -1], [-1, 1], [1, 1], [1, -1] and isotropic covariance σ2g with σg = 0.2.
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