Computer scienceData scienceMachine learningData preprocessing

Feature scaling

Theory

The scaler match

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Consider the scenarios below and match them to the most fitting scaler:

Match the items from left and right columns
Feature normalization
Row normalization
Standardization
All samples values should sum up to 1 after the transformation
The data should be centered around 0
The data should lie in some fixed range, various mean values and variances are acceptable
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