Exercise

Assessing smallest clusters

In this exercise you're going to have a look at the clusters that came out of DBSCAN, and flag certain clusters as fraud:

you first need to figure out how big the clusters are, and filter out the smallest
then, you're going to take the smallest ones and flag those as fraud
last, you'll check with the original labels whether this does actually do a good job in detecting fraud.

Available are the DBSCAN model predictions, so n_clusters is available as well as the cluster labels, which are saved under pred_labels. Let's give it a try!

Instructions 1/3

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Count the samples within each cluster by running a bincount on the predicted cluster numbers under pred_labels and print the results.