k-means is good for fast unsupervised clustering on an unknown low-dimensional dataset. It's helpful for EDA. If you want accuracy at an order of magnitude mor

k-means is good for fast unsupervised clustering on an unknown low-dimensional dataset. It's helpful for EDA. If you want accuracy at an order of magnitude more compute, you can use something like DBSCAN.