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Data Mining UGC

Question 1

K-mean clustering algorithm has clustered the given 8 observations into 3 clusters after 1st iteration as follows: C1 : {(3,3), (5,5), (7,7)} C2 : {(0,6), (6,0), (3,0)} C3 : {(8,8),(4,4)} What will be the Manhattan distance for observation (4,4) from cluster centroid C1 in second iteration?
  • 2
  • √2
  • 0
  • 18

Question 2

​Data warehouse contains___________ data that is never found in operational environment.
  • Scripted
  • Encoded
  • Encrypted
  • Summary

There are 2 questions to complete.

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