Normalization

Normalization consists of transforming numerical values into a specific range, such as [–1.0,1.0] or [0.0,1.0] such that x_new = (x_old-shift)/scale. Normalization usually results in values whose absolute value is less than or equal to 1.0. Normalization applies only to numerical columns.

You can normalize numerical attributes only.

To normalize an column, select Normalization for Transformation type and select a Normalization Type.

Data Miner supports these normalization types:

Select the normalization type, specify any required values, and then click OK.