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source/clustering.md

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@@ -571,15 +571,13 @@ sum of WSSDs over all the clusters, i.e., the *total WSSD*:
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2. **Label update:** Reassign each data point to the cluster with the nearest center.
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These two steps are repeated until the cluster assignments no longer change.
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We show what the first four iterations of K-means would look like in
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We show what the first three iterations of K-means would look like in
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{numref}`toy-kmeans-iter-1`
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There each row corresponds to an iteration,
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where the left column depicts the center update,
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and the right column depicts the reassignment of data to clusters.
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:::{glue:figure} toy-kmeans-iter-1
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:figwidth: 700px
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:name: toy-kmeans-iter-1

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