Understanding concept of Gaussian Mixture Models
问题 I\'m trying to understand GMM by reading the sources available online. I have achieved clustering using K-Means and was seeing how GMM would compare to K-means. Here is what I have understood, please let me know if my concept is wrong: GMM is like KNN, in the sense that clustering is achieved in both cases. But in GMM each cluster has their own independent mean and covariance. Furthermore k-means performs hard assignments of data points to clusters whereas in GMM we get a collection of