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When doing DBSCAN on the subclusters, do you cluster on the 2-D projected space? Do you use the original 2-D projection you used prior to k-means, or does each subcluster get its own UMAP projection?


I DBSCAN in the 2D projected space.

These aren't visualized: I use identified clusters to look at manually to find trends.


Is it possible to dbscan on the unprojected space or does that lead to poor effectiveness? Also what led you to choose dbscan vs another technique?


Poor effectiveness. (again another hint why working in high dimensional space may not be ideal)

I was not aware of a robust clustering technique that's better/as easy to use other than DBSCAN.


Any reason to pick DBSCAN instead of HDBSCAN*?




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