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Data Discretization with CAIM (Class-attribute Interdependence Maximization)
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:doc:`/SingleStepClassifiers/NonCausalStep/index`

In this step, *CAIM* algorithm, which maximizes the class-attribute interdependence and generates a (possibly) minimal number of discrete intervals, is used to discretize the data. A priori knowledge on the number of intervals is not required.

.. rubric:: Input Parameters

1. Input data

.. rubric:: Output Parameters

1. Discretized data

.. rubric:: Workflow

.. image:: workflow.svg


.. rubric:: Algorithm

:doc:`/Algorithms/CAIM/index`

.. rubric:: References

- L.A.\  Kurgan, K.J. Cios, CAIM Discretization Algorithm, IEEE Transactions on Knowledge and Data Engineering, vol. 16(2), pp. 145-153, 2004.