Decimal scaling normalization is a data preprocessing technique that scales attribute values in a dataset to a common scale without altering the differences between values. It works by multiplying all values of an attribute by a scaling factor determined by the maximum absolute value in the attribute's column. This normalization method is used to standardize data scales for algorithms sensitive to magnitude differences like distance-based algorithms such as K-nearest neighbors classification.

1. Normalization with
Decimal Scaling
Prof.Dr. Fazal Rehman Shamil
https://t4tutorials.com/decimal-scaling-
normalization-in-data-mining/

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