Q26. Assume, you want to cluster 7 observations into 3 clusters using K-Means clustering algorithm. After fırst iteration clusters, C1, C2, C3 has following observations: C1: {(2,2), (4,4), (6,6)} C2: {(0,4), (4,0)} 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. None of these

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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Q26. Assume, you want to cluster 7
observations 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)}
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. None of these
Transcribed Image Text:Q26. Assume, you want to cluster 7 observations 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)} 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. None of these
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