414 I am lost in normalizing, could anyone guide me please. I have a minimum and maximum values, say -23.89 and 7.54990767, respectively. If I get a value of 5.6878 how can I scale this …

I'm doing principal component analysis on my dataset and my professor told me that I should normalize the data before doing the analysis. Why? What would happen If I did PCA without …

Jan 7, 2016 · As some of the other answers have already pointed it out, the "good practice" as to whether to normalize the data or not depends on the data, model, and application. By …

Oct 26, 2015 · I have seen the min-max normalization formula but that normalizes values between 0 and 1. How would I normalize my data between -1 and 1? I have both negative and positive …

May 8, 2016 · Consistency: Normalizing with the dataset mean ensures all images are treated the same, providing a stable input distribution. Preserves Important Features: Keeps global …

Feb 7, 2018 · Yes, indeed, regarding: "Finally, in both cases I believe I should compute Xi and S (or Xi (t) and S (t)) based only on training set data, and use the values so computed to …

Jan 5, 2019 · The correct term for the scaling you mean is z-standardizing (or just "standardizing"). It is center-then-scale. As for term normalizing, it is better to concretize what …

At work we were discussing this as my boss has never heard of normalization. In Linear Algebra, Normalization seems to refer to the dividing of a vector by its length. And in statistics, …

Jun 26, 2015 · First of all, I'm not a statistics person but came across this site and figured I'd ask a potentially dumb question: I'm looking at some P&L data where the line items are things …

The obvious (and often used) solution would be to divide each value in the experimental group by the mean of the corresponding control group (I have seen this described as "calculating the …