What is the purpose of the Elbow Method in k-means clustering?

Data Science with Python Hard

Data Science with Python — Hard

What is the purpose of the Elbow Method in k-means clustering?

Key points

  • The Elbow Method identifies the point where adding more clusters does not significantly reduce inertia.
  • It helps avoid overfitting by finding the optimal number of clusters.
  • The elbow shape signifies the point where the marginal gain of adding more clusters decreases.

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