Suppose that you need to group some data into clusters, and you run K-means 100 times, starting each time from a different random initialisation. You get 100 different clusterings of the data. Which one should you choose? Simply pick one at random. Choose the one that minimises the mean distance of points from the centroid of their allocated cluster. Label the clusters 1, 2, ..., k each time, and assign each point to the cluster it ends up in most often. Choose the clustering you get from the 100th run.

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Suppose that you need to group some data into clusters, and you run K-means 100 times,
starting each time from a different random initialisation. You get 100 different clusterings of the
data. Which one should you choose?
Simply pick one at random.
Choose the one that minimises the mean distance of points from the centroid of their allocated cluster.
Label the clusters 1, 2, ...,
Choose the clustering you get from the 100th run.
k each time, and assign each point to the cluster it ends up in most often.
Transcribed Image Text:Suppose that you need to group some data into clusters, and you run K-means 100 times, starting each time from a different random initialisation. You get 100 different clusterings of the data. Which one should you choose? Simply pick one at random. Choose the one that minimises the mean distance of points from the centroid of their allocated cluster. Label the clusters 1, 2, ..., Choose the clustering you get from the 100th run. k each time, and assign each point to the cluster it ends up in most often.
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