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Outlier Detection with Maximum Likelihood
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:doc:`/SingleStepClassifiers/NonCausalStep/index`

This step detects outliers in a data set by checking the value in question's distance from the mean distribution.

.. 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/MaximumLikelihood/index`

.. rubric:: References

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