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Linearly scales numeric columns to the [0,1] range per column.
minmax()
returns an object of class minmax
minmax
For each numeric column j, computes (x - min_j) / (max_j - min_j). Constant columns map to 0.
\(minmax = (x-min(x))/(max(x)-min(x))\)
Han, J., Kamber, M., Pei, J. (2011). Data Mining: Concepts and Techniques. (Normalization section)
data(iris) head(iris) trans <- minmax() trans <- fit(trans, iris) tiris <- transform(trans, iris) head(tiris) itiris <- inverse_transform(trans, tiris) head(itiris)
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