What are the different types of normalization?
An example of an AI chatbot conversation about types of normalization in data processing.
What are the different types of normalization?
Normalization is a technique used in data processing to adjust values in a dataset to a common scale. The main types include Min-Max normalization, Z-score normalization, and Decimal scaling.
Can you explain Min-Max normalization?
Sure! Min-Max normalization rescales the data to a fixed range, usually [0, 1]. It subtracts the minimum value and divides by the range of the dataset.
What about Z-score normalization?
Z-score normalization, or standardization, transforms data to have a mean of 0 and a standard deviation of 1. It’s useful for datasets with different scales.
Are there any other types?
Yes, there's also Decimal scaling, which moves the decimal point of values. Additionally, there are techniques like Robust normalization that are less affected by outliers.
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