I'm trying to understand the clustering code but not doing too well.

https://github.com/simonw/llm-cluster/blob/main/llm_cluster....

So does this take each row from the DB, convert to a numpy array (?), then uses an existing model called MiniBatchKMeans (?) to go over that array and generate a bunch of labels. Then add it to a dictionary and print to console.