Given the following 8 points in 3 dimensions:
(1,1,0), (2,1,0), (4,3,1), (5,4,2), (-1,0,-1), (3,3,2),
(-1,2,2), (3,3,3)
perform k-means clustering algorithm of k=2 clusters with
Manhattan distance for these 8 points. Use (1,1,0) and (3,3,2) as
the initial means. You must show working steps until the results
show no change between steps; guess work will gain no mark.
(Round your answers off to 5 decimal places).
Given the following 8 points in 3 dimensions: (1,1,0), (2,1,0), (4,3,1), (5,4,2), (-1,0,-1), (3,3,2), (-1,2,2), (3,3,3)
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answerhappygod
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Given the following 8 points in 3 dimensions: (1,1,0), (2,1,0), (4,3,1), (5,4,2), (-1,0,-1), (3,3,2), (-1,2,2), (3,3,3)
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