Machine Learning, Clustering, Expectation Maximization, Gaussian Mixture Model, Image Clustering.
(with mean μk and covariance Σk). We used ∝ because the quantity N (xi | μk, Σk) is not yet the responsibility we want. To ensure that all responsibilities over each data point add up to 1, we add the normalization constant in the denominator: But our data is 3 dimension vector i.e. [red, green,