| Why K-means converges |
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| • | Whenever an
assignment is changed, the sum |
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| squared distances
of data-points from their |
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| assigned cluster
centers is reduced. |
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| • | Whenever a
cluster center is moved the sum |
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| squared distances
of the data-points from their |
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| currently
assigned cluster centers is reduced. |
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| • | If the
assignments do not change in the |
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| assignment step,
we have converged. |
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