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UGC-NET | NTA UGC NET 2019 June - II | Question 29
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?
(A)
2
(B)
√2
(C)
0
(D)
18
Answer
Please comment below if you find anything wrong in the above post
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