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What is the elbow method used for in k-means clustering?

  1. A Choosing the number of clusters by looking for the point where added clusters stop reducing inertia
  2. B Removing outliers
  3. C Scaling the features
  4. D Measuring cluster purity
Answer

Choosing the number of clusters by looking for the point where added clusters stop reducing inertia

Silhouette score is a complementary measure. k-means also assumes roughly spherical clusters of similar size, which is often unrealistic.

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