Timeline for Do we need to set training set and testing set for clustering?
Current License: CC BY-SA 4.0
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Jun 8, 2021 at 15:23 | history | edited | Haitao Du | CC BY-SA 4.0 |
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Mar 23, 2017 at 1:53 | comment | added | Has QUIT--Anony-Mousse | Except that DBSCAN doesn't optimize a metric? | |
Mar 22, 2017 at 11:02 | comment | added | usεr11852 | @Anony-Mousse: The answer is particular to k-means as an example but it would be qualitatively the same if DBSCAN or spectral clustering or whatever else it was used. It just shows that a particular metric can be over-fitted. | |
Mar 22, 2017 at 7:10 | comment | added | Has QUIT--Anony-Mousse | And if you don't use k-means? Say, average linkage clustering? I fear thar your answer is overfitting to k-means. | |
Mar 21, 2017 at 21:28 | comment | added | usεr11852 | +1 because it is a constructive answer but to play devil's advocate you do know they are 3 clusters. If someone showed this data without any context a 2-cluster solution would work beautifully too. Maybe you even have some of the upper right-most points as outliers to play "real-data-have-outliers" too. It would be much more constructive (and stringent) to look at the coherence between bootstrapped/jittered/subsetted clustering runs using some statistic (eg. cophenetic correlation, Adjusted Rand-Index, etc.). | |
Mar 21, 2017 at 18:23 | comment | added | Haitao Du | @rz.He yes, check this answer stats.stackexchange.com/questions/261537/… | |
Mar 21, 2017 at 18:22 | history | edited | Haitao Du | CC BY-SA 3.0 |
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Mar 21, 2017 at 18:19 | comment | added | rz.He | Hi hxd1011, thanks for your quick reply. Another question, do you have any recommendations about how to determine the actual number of clusters when we do clusterings such as kmeans? | |
Mar 21, 2017 at 18:16 | vote | accept | rz.He | ||
Mar 21, 2017 at 18:15 | history | edited | Haitao Du | CC BY-SA 3.0 |
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Mar 21, 2017 at 18:09 | history | edited | Haitao Du | CC BY-SA 3.0 |
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Mar 21, 2017 at 18:00 | history | edited | Haitao Du | CC BY-SA 3.0 |
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Mar 21, 2017 at 17:55 | history | answered | Haitao Du | CC BY-SA 3.0 |