Consider the following data points to which the k-means algorithm is applied. A= (0,1) B=(2,1) C=(3,2) D=(3,4) E =(4,4) F = (5.4) G=(4,5) H=(5,5) 1 = (6.5) J=(7.6) K=(7.7) (12) Assume A and K be the centroids. For the given centroids, what are the clusters after the first run of the k-means algorithm? (13) After that, what are the centroids? (14) What are the clusters after the second run? (15) Back to (13), what if three centroids, A, D and K, are considered?

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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Consider the following data points to which the k-means algorithm is applied.
A= (0,1)
B- (2,1)
C = (3,2)
D= (3,4)
E = (4,4)
F= (5,4)
G = (4,5)
H= (5,5)
1= (6,5)
J= (7,6)
K= (7,7)
(12) Assume A and K be the centroids. For the given centroids, what are the clusters after the first run of the k-means algorithm?
(13) After that, what are the centroids?
(14) What are the clusters after the second run?
(15) Back to (13), what if three centroids, A, D and K, are considered?
Transcribed Image Text:Consider the following data points to which the k-means algorithm is applied. A= (0,1) B- (2,1) C = (3,2) D= (3,4) E = (4,4) F= (5,4) G = (4,5) H= (5,5) 1= (6,5) J= (7,6) K= (7,7) (12) Assume A and K be the centroids. For the given centroids, what are the clusters after the first run of the k-means algorithm? (13) After that, what are the centroids? (14) What are the clusters after the second run? (15) Back to (13), what if three centroids, A, D and K, are considered?
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