Do we need to normalize data before using matlab machine learning classifier especially SVM?
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Hi,
i al currently exploring machine learning using matlab. My question is do i need to normalize the data between 0-1 before start training with machine learning classifier expecially SVM?
For example the image below, we notice that the data are between -5.2 to 6.5 for "X" and -6.4 to 5.6 for "Y". so do i need to normalize the data from 0 to 1 first before start to train with machine learning classifier such as SVM?
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/994515/image.png)
Besides, i do notice that SVM does have kernal function properties such as gaussian. Does it mean that using kernal function alone is sufficient to ovveride the normalization process?
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/994520/image.png)
Hope someone could help clarify the confusion. many thanks.
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Manas
el 4 de Oct. de 2023
Hey Teo,
I understand that you wish to know if there is a need to normalize data when using MATLAB SVM Classifier
It is generally recommended to normalize the input data before training as it helps ensure that all features have a similar scale, which can improve the performance and convergence of the model.
While kernel functions like gaussian or linear can help handle non-linear data and implicitly map it to a higher-dimensional feature space, normalization still plays a crucial role in ensuring all features have a similar scale.
With all being said, the decision to normalize the data ultimately depends on the specific characteristics of the dataset and the requirements of the problem statement itself. I would recommend experimenting with both normalized and unnormalized data to observe the impact on the performance of your SVM Model.
I’m adding links to relevant documentations for your reference:
You can learn more about SVM’s from here: https://in.mathworks.com/discovery/support-vector-machine.html
SVM Documentation for MATLAB: https://in.mathworks.com/help/stats/support-vector-machine-classification.html
Hope this helps
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