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Normalization is a process used in various fields, particularly in statistics and data processing, to adjust values in a dataset to a common scale without distorting differences in the ranges of values. This often involves techniques like min-max scaling or z-score standardization, which help improve the performance of machine learning algorithms by ensuring that features contribute equally to the distance calculations. In database design, normalization refers to organizing data to reduce redundancy and improve data integrity. Overall, normalization enhances the comparability and interpretability of data.

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