where does kmeans store its trained model parameters in scikit learn?
K-means stores 4 model parameters namely cluster_centers_, labels_, inertia_, n_iter_. For details on what they store you can look at the official documentation. Also, Inertia, or the within-cluster sum of squares criterion, can be recognized as a measure of how internally coherent clusters are. You can see a full description here under the section: 2.3.2. K-means.