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K-Means
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Elbow Method: Definition, Drawbacks, vs. Silhouette Score | Built In
The elbow method is a technique used to find the optimal number of clusters (K) in k-means clustering. An optimal K value is the “elbow” point on a graph of k-values and their corresponding within-cluster sum of squares (WCSS) values.
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