Database Reference
In-Depth Information
Final cluster assignments for K-means
As we can see, the model has done a decent job of separating the five clusters. The left-
most three are fairly accurate (with a few incorrect points). However, the two clusters in
the bottom-right corner are less accurate.
This illustrates:
• The iterative nature of K-means
• The model's dependency on the method of initially selecting clusters' centers
(here, we will use a random approach)
• That the final cluster assignments can be very good for well-separated data but
can be poor for data that is more difficult
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