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. c1: (6,6), c2: (4,4), c3: (9,9)
C. c1: (2,2), c2: (0,0), c3: (5,5)
D. c1: (4,4), c2: (3,3), c3: (7,7)
Answer» D. c1: (4,4), c2: (3,3), c3: (7,7)
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Megha Gandhi
4 months ago

Thanks for the MCQs, they're exceptional.
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Zhyar Rasull Haji
1 year ago

B) Assume, you want to cluster 7 observations into 3 clusters using K-Means clustering algorithm. After first iteration clusters, CI, C2, C3 has following observations:
(5 Marks)
C1: ((2,2), (4,4), (6,6)), C2: 4(0,4), (4,0)), C3: 15.5), (9,9))
-1

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