Machine Learning, Clustering, Expectation Maximization, Gaussian Mixture Model, Image Clustering.
not do hard assignments to the cluster, say an example if an image If we are working with k=4 i.e. 4 clusters model i.e. Sunset, forest, cloud, and sky then In k mean algorithm this picture belongs only to cloud this is called a hard assignment but in GMM it belongs to 97% cloud and 3% forest this