Imagine you are working with a large dataset, and the Elbow Method is computationally expensive. What alternative methods might you consider for determining the number of clusters?
- Double the number of centroids
- Gap Statistic, Silhouette Method
- Randomly choose the number of clusters
- Use the Elbow Method with reduced data
Alternatives like the Gap Statistic and Silhouette Method are used to determine the optimal number of clusters when the Elbow Method is computationally expensive. These methods consider cluster cohesion and separation without requiring extensive computations.
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