What are some other normalization techniques in data processing?
In addition to min-max normalization, you can consider techniques like z-score normalization, decimal scaling, and robust normalization.
Can you explain z-score normalization?
Z-score normalization, or standardization, transforms data to have a mean of 0 and a standard deviation of 1, making it useful for comparing different datasets.
What is decimal scaling?
Decimal scaling involves moving the decimal point of values in a dataset to normalize them, which can help in reducing the range of values.
When should I use robust normalization?
Robust normalization is ideal when your data contains outliers, as it uses the median and interquartile range to scale the data.
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