When using the Elbow Method in K-Means, the optimal number of clusters is typically found where the plot shows a(n) _________, indicating a point of diminishing returns.
- Elbow
- Foot
- Hand
- Knee
In the context of K-Means, the "elbow" refers to the point in the plot where adding more clusters does not significantly reduce the within-cluster sum of squares. It indicates a point of diminishing returns in terms of cluster separation.
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