Hierarchical vs. K-Means Clustering

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 :slight_smile:

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