Set Up Qdrant Medoids for Anomaly Detection

Here we're extracting and gathering all the information about crop clusters, so we can call Qdrant distance matrix API for each cluster. We're propagating the biggest cluster size (of labeled data, in our case all data is labeled; for real use cases don't call distance matrix API if your labeled data is more than a couple of hundreds), the number of unique crop values and unique crop values themselves. We will run the algorithm once per unique crop cluster (to find it's center and threshold).