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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 applies only to numerical attributes.
Oracle Data Miner allows you to specify these kinds of normalization:
Min Max: Normalize each attribute using the transformation x_new = (x_old-min)/ (max-min)
Linear Scale: Normalize each attribute using the transformation x_new = (x_old-shift)/scale
Z-Score: Normalize numerical attributes using the mean and standard deviation computed from the data. Normalize each attribute using the transformationx_new = (x-mean)/standard deviatio
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Custom: User-defines how to normalize
provides transformations that perform min-max normalization, scale normalization, and z-score normalization.
You cannot normalized character data.