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Outlier Detection with Box Plot
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:doc:`/SingleStepClassifiers/NonCausalStep/index`

This step detects outliers in a data set by applying the *Box Plot* technique.

.. rubric:: Input Parameters

1. Input data including outliers

.. rubric:: Output Parameters

1. Original data with outliers marked

.. rubric:: Workflow

.. image:: workflow.svg


.. rubric:: Algorithm

:doc:`/Algorithms/BoxPlot/index`

.. rubric:: References

- J.\  Han, M. Kamber and J. Pei, Data Mining - Concepts and Techniques, 3rd ed., Amsterdam: Morgan Kaufmann Publishers, 2012.

- R.\  McGill, J.W. Tukey, and W.A. Larsen, Variations of Boxplots, The American Statistician., vol. 32(1), pp. 12-16, 1978.