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Merged
merged 9 commits into from
Aug 6, 2024
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Doc add plot outlier detection wine to docs #29237

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a8df28a
Added Outlier detection wine example to doc
nbrown-ScottLogic Jun 11, 2024
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Update outlier_detection.rst
nbrown-ScottLogic Jun 11, 2024
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nbrown-ScottLogic Jun 11, 2024
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nbrown-ScottLogic Jun 11, 2024
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nbrown-ScottLogic Jun 19, 2024
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Update outlier_detection.rst
nbrown-ScottLogic Jun 24, 2024
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Merge branch 'scikit-learn:main' into DOC-Add-plot-outlier-detection-…
nbrown-ScottLogic Jul 8, 2024
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Update outlier_detection.rst
nbrown-ScottLogic Jul 9, 2024
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Merge branch 'main' into DOC-Add-plot-outlier-detection-wine-to-Docs
nbrown-ScottLogic Jul 9, 2024
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4 changes: 4 additions & 0 deletions doc/modules/outlier_detection.rst
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Expand Up @@ -246,6 +246,10 @@ This strategy is illustrated below.
(:class:`covariance.MinCovDet`) of location and covariance to
assess the degree of outlyingness of an observation.

* See :ref:`sphx_glr_auto_examples_applications_plot_outlier_detection_wine.py`
for an example of robust covariance estimation on a real data set.


.. rubric:: References

* Rousseeuw, P.J., Van Driessen, K. "A fast algorithm for the minimum
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