When determining the number of clusters (K) for K-means clustering, which method involves plotting the variance as K increases and looking for an "elbow" in the plot?
- Davies-Bouldin Index
- Elbow Method
- Gap Statistics
- Silhouette Analysis
The Elbow Method involves plotting the variance (inertia) against different values of K. The "elbow" point is where the rate of decrease sharply changes, indicating an optimal K.
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