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I have a table with 5 columns: point_id (Integer); postal_code (Integer); latitude (Decimal); longitude (Decimal); geoLatLon (GeoPoint)
1. I would like to calculate the pairwise distances between these points according to my formula (par exemple, haversine distance)
2. Group these points into given number of clusters (for exemple, 2 clusters) with minimum 2 points at each cluster so that the total distance between the points of one cluster is less as possible.
How could I implement these steps? I was planning to use quick clustering model with K-means algorithm , but I have not found any tutorial on how to calculate pairwise distances between all points and pass these distances to the model.