Unsupervised Clustering, Expectation Maximization, Gaussian Mixture Model, K Means Clustering, Tensorflow Probability.
in both dimensions and features are nearly uncorrelated for the purple cluster. Thus from the above reasoning assigning the red point to the purple cluster makes more sense. So, we can conclude one of the drawbacks of K-means, that it doesn’t take into account the structure of data. How about if we