How is the number of clusters in K-Means typically determined?
- Based on the dataset size
- Random selection
- Through classification
- Using the Elbow Method
The number of clusters in K-Means is typically determined using the Elbow Method, where the variance is plotted against the number of clusters to find the optimal point.
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