Hi, I am quite new tho this whole Data Science topic, however, I’m trying to cluster a rather small amount of data ( 50-100 rows) and asking myself whether i should use hierarchical or k-means clustering. Any suggestions or tipps?
Hi @rueschsa and welcome to the forum.
A good place to start would be this recent blog post from our evangelism team, and its associated workflow:
For small datasets, I like hierarchical clustering myself, as I find dendograms to be a useful visualization tool. But that is just personal preference. Try out the different methods in the workflow and see what you think 
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