📊 Data Science
Q. What is the main objective of "k-means++" initialization in the K-means clustering algorithm?
  • (A) To reduce the number of clusters
  • (B) To add more clusters
  • (C) To visualize data
  • (D) To choose initial cluster centroids in a way that improves the convergence of the algorithm
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✅ Correct Answer: (D) To choose initial cluster centroids in a way that improves the convergence of the algorithm

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