It may help you to read this thread: how-to-verify-a-distribution-is-normalized. If that answers your question, you can delete this Q; if not, edit your Q to specify what you still don't understand.

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 …

Nov 6, 2020 · The purpose of a test data set is to simulate the effect of using the model in the future. You won't know the mean or standard deviation of that data because you don't have it. …

Dec 6, 2021 · On the other hand the second data set has numbers between 0 and 200 and the standard deviation is 30. Comparing these two, we roughly say that the variation in the first …

Oct 2, 2018 · What I think I want to do is "normalize" each line of data such that their standard deviations are on the same scale (e.g., 0..1 or 0..10). This would conceptually allow me to …

The clarification helps. You might want to ponder the fact, though, that regression with only a constant term (and no other independent variables) amounts to assessing the variation of the …

Nov 8, 2022 · I am trying to pre-process data following a statement in a paper. They said for the normalization, each dataset is normalized on a per channel basis with a sample range from -1 …

Jul 5, 2012 · 244 If I have highly skewed positive data I often take logs. But what should I do with highly skewed non-negative data that include zeros? I have seen two transformations used: …

How to normalize data to 0-1 range? (6 answers) How to normalize data between -1 and 1? (2 answers) Proper way to scale feature data (1 answer) Normalize sample data for clustering (2 …

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 …