Normalization involves scaling continuous values to the range –1.0 to 1.0 or the range 0.0 to 1.0. A normalization transformation is of the form xnew=((xold-shift)/scale)
. Normalization applies to numerical attributes only.
Suppose that val
is the value of an attribute, min
is the minimum value of the attribute, max
is the maximum value of the attribute, avg
is the mean of the attribute, and std
is the standard deviation of the attribute.
Oracle Data Miner supports the following normalization methods:
(x - MIN(x))/(MAX(x) - MIN(x))
(x - MEAN(x))/SQRT(VARIANCE(x))
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