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Towards Data Science Gaussian Mixture

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Towards Data Science Gaussian Mixture . Here, “gaussian” means the gaussian distribution, described by mean and variance; By variance, we are referring to the width of the bell shape curve. Gaussian Mixture Models Clustering Algorithm Explained from towardsdatascience.com The gaussian mixture model (gmm) is a mixture of gaussians, each parameterised by by mu_k and sigma_k, and linearly combined with each component weight, theta_k, that sum to 1. We pretended to have full knowledge of its precision (precision=1) and learned its mean by using a gaussian prior, The data x is gaussian distributed,;