- 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
Got stuck in Normalization and rescaling. Please Help
10 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
I am writing a MATLAB code but I am confused whether I should use normalization or rescaling. What is the difference between both of them. ?
0 Kommentare
Akzeptierte Antwort
Naman
am 17 Jul. 2023
Hi Pravin,
Hope it helps !
0 Kommentare
Weitere Antworten (1)
Rik
am 17 Jul. 2023
Your question has nothing to do with Matlab.
Normalization either means the highest value is set to one (by dividing every value by the highest value), or it means ensuring the area is set to one (by dividing by the area).
Rescaling doesn't really have a fixed meaning, but usually means data is stored with a different scale than the actual data scale. Multiplying with the rescale factor (the RescaleSlope in the context of dicom images) will restore the original data.
0 Kommentare
Siehe auch
Kategorien
Mehr zu Get Started with MATLAB finden Sie in Help Center und File Exchange
Produkte
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!