What is the Elbow Method in the context of K-Means clustering?
- A centroid initialization technique
- A clustering visualization tool
- A method to determine the number of clusters
- A way to calculate distance between points
The Elbow Method in K-Means clustering is used to find the optimal number of clusters by plotting the variance as a function of the number of clusters and finding the "elbow" point.
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