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Reconstructing Improper Values with Local Centered Moving Average
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:doc:`/SingleStepClassifiers/NonCausalStep/index`

This step replaces any improper values in the data vector with the *Mean* of the neighbourhood values.

.. rubric:: Input Parameters

1. Input data including improper values

2. Definition of improper values ('nan', 'inf', or 'null', etc.)

3. Local window size

.. rubric:: Output Parameters

1. Output data excluding improper values

.. rubric:: Workflow

.. image:: workflow.svg


.. rubric:: Algorithm

:doc:`/Algorithms/Mean/index`

.. rubric:: References

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