Machine Learning, Clustering, Expectation Maximization, Gaussian Mixture Model, Image Clustering.
density which gives us probability wise estimation of observations with their respective cluster assignments. Outlier points: outliers are taken care of consideration as it contains very fewer responsibilities to its closest cluster. conclusion: So coming to end we can say that any image with the