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Determining Number of Clusters in One Picture

If you want to determine the optimal number of clusters in your analysis, you’re faced with an overwhelming number of (mostly subjective) choices. Note that there’s no “best” method, no “correct” k, and there isn’t even a consensus as to the definition of what a “cluster” is. With that said, this picture focuses on three popular methods that should fit almost every need: Silhouette, Elbow, and Gap Statistic.


Click on the picture to zoom in

For other machine learning concepts explained in one picture, see here. For other tutorials on clustering, follow this link.


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