The Easiest Way to Interpret Clustering Result

Describing clusters with a function call

Winson Waisakurnia
Towards Data Science
3 min readJun 13, 2020

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Did you ever use a clustering method before? What was the most difficult part for you? Usually, I do clustering with these steps: scaling the input features, dimensionality reduction, and choosing one clustering algorithm that could perform well on the data. These steps are pretty standard, right? But, the problem…

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Data Scientist | ex Software Engineer in Data Team | Computer Science @ Bandung Institute of Technology