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How to normalize Kernel Density Estimation using min-max normalization?

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I am using gaussian_kde for Kernel Density Estimation.After that, I would like to compare between multi Density plots.In this case, Should I normalize each Density plot using min-max normalization?And if it is necessary, How can I do it?


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