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Merge pull request #75239 from orspod/patch-7
Update machine-learning-clustering.md
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articles/data-explorer/machine-learning-clustering.md

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Both plugins are powerful and easy to use, but their significant limitation is due to the fact that they cluster a single record set in an unsupervised manner (with no labels). It's therefore unclear whether the extracted patterns characterize the selected record set (the anomalous records) or the global record set.
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## Clustering the difference between two records sets using `diffpatterns()`
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## Clustering the difference between two records sets
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The [`diffpatterns()`](/azure/kusto/query/diffpatternsplugin) plugin overcomes the limitation of `autocluster` and `basket`. `Diffpatterns` takes two record sets and extracts the main segments that are different between them. One set usually contains the anomalous record set being investigated (one analyzed by `autocluster` and `basket`). The other set contains the reference record set (baseline).
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