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並前往https://towardsdatascience.com/k-means-clustering-algorithm-applications-evaluation-methods-and-drawbacks-aa03e644b48a

K-means Clustering: Algorithm, Applications, Evaluation ...

In other words, we try to find homogeneous subgroups within the data such that data ... The graph above shows that k=2 is not a bad choice.

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