Hi Pravin,
- Normalization refers to the process of transforming data to have a specific distribution or range. It typically involves scaling the data to have a mean of zero and a standard deviation of one. The purpose of normalization is to make different features or variables comparable on a similar scale, which can be useful in various statistical and machine learning algorithms.
- Documentation Link -> Normalize data - MATLAB normalize - MathWorks India
- Rescaling, on the other hand, refers to adjusting the range of values in a dataset to a desired range. This can involve scaling the values linearly or nonlinearly to a specific minimum and maximum range. The purpose of rescaling is often to enhance visualization or to ensure that the data falls within a specific range required by a particular algorithm or application.
- Documentation Link -> Scale range of array elements - MATLAB rescale - MathWorks India
Hope it helps !
