πŸ“Š Machine Learning
Q. 8 observations are clustered into 3 clusters using K-Means clustering algorithm. After first iteration clusters, C1, C2, C3 has following observations:
C1: {(2,2), (4,4), (6,6)}
C2: {(0,4), (4,0),(2,5)}
C3: {(5,5), (9,9)}
What will be the cluster centroids if you want to proceed for second iteration?
  • (A) C1: (4,4), C2: (2,2), C3: (7,7)
  • (B) to decrease the efficiency, do level-wise generation of frequent item sets
  • (C) C1: (2,2), C2: (0,0), C3: (5,5)
  • (D) C1: (4,4), C2: (3,3), C3: (7,7)
πŸ’¬ Discuss
βœ… Correct Answer: (D) C1: (4,4), C2: (3,3), C3: (7,7)

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