Gaussian Mixture Models Clustering Algorithm Explained
Published in
8 min readJul 15, 2019
Gaussian mixture models can be used to cluster unlabeled data in much the same way as k-means. There are, however, a couple of advantages to using Gaussian mixture models over k-means.
First and foremost, k-means does not account for variance. By variance, we are referring to the width of the bell shape curve.
