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A comment on Introduction to K-Means Clustering. Parent comment

Re:Introduction to K-Means Clustering by twelvechairs on Monday March 14, 2022 @10:05PM (#30680958)
Yes. The visual comparison at [0] gives a good quick overview of clustering algorithms in speed and results. DBSCAN is one with an excellent combination of speed and finding clusters that are human-sensible

[0] https://scikit-learn.org/stable/auto_examples/cluster/plot_c...

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Re:Introduction to K-Means Clustering by hoseja on Tuesday March 15, 2022 @07:11AM (#30683931)
You can still see it failing in that varying-density case.
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