======== Midrange ======== :doc:`/WorkProcessClassifiers/GlobalAlgorithm/index` - :doc:`/WorkProcessClassifiers/OneDimensionalAlgorithm/index` *Midrange* algorithm is computed from .. math:: m = \frac{\text{max}(Y) + \text{min}(Y)}{2} \, \text{,} where :math:`Y` is the input data vector and :math:`m` represents the midrange value. A selection algorithm is required to find the minimum, maximum values. .. rubric:: Input Parameters +--------------------+--------------------------------------------+----------------------------------------+------------------------------------------------+---------+ | Parameter | Type | Constraint | Description | Remarks | +====================+============================================+========================================+================================================+=========+ | :math:`Y` | :math:`Y \in \mathbb R^N` | :math:`N \in \mathbb{N}` | Input data vector of length :math:`N` | | +--------------------+--------------------------------------------+----------------------------------------+------------------------------------------------+---------+ .. rubric:: Output Parameters +--------------------+----------------------------------------+------------+--------------------------------------+---------+ | Parameter | Type | Constraint | Description | Remarks | +====================+========================================+============+======================================+=========+ | :math:`m` | :math:`m \in \mathbb R` | | Midrange value of :math:`Y` | | +--------------------+----------------------------------------+------------+--------------------------------------+---------+ .. rubric:: Single Steps using the Algorithm * :doc:`/DataPreprocessing/MathematicalComputation/ComputingMidrangeValueWithMidrange/index` * :doc:`/DataPreprocessing/DataCleaning/HandlingImproperValues/ReconstructingImproperValues/ReconstructingImproperValuesWithLocalCenteredMovingMidrange/index`