Function that performs sigmoidal normalization.
The dataset to be normalized, including classes
This method transforms the input data nonlinearly into [-1,1] using a sigmoid function. The original data is first centered about the mean, and then mapped to the almost linear region of the sigmoid. Is especially appropriate when outlying values are present.
Removes classes before normalization, and returns the normalized data set complete with classes rejoined.
Original dataset normalized
Caroline Rodriguez and Edgar Acuna
Hann, J., Kamber, M. (2000). Data Mining: Concepts and Techniques. Morgan Kaufman Publishers.
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