Jul 13, 2021 · Fold-change (or percentage change) is a perfectly reasonable way to want to interpret data, but indeed, just normalizing as you have done creates the issue you've noticed. It's actually …

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 values in my …

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 fold change" …

When data are seen as vectors, normalizing means transforming the vector so that it has unit norm. When data are though of as random variables, normalizing means transforming to normal …

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 is meant exactly, because …

Jan 7, 2016 · Linear regression coefficients will be identical if you do, or don't, scale your data, because it's looking at proportional relationships between them. Some times when normalizing is bad: 1) …

Oct 13, 2020 · How to normalize data for LSTM? Ask Question Asked 5 years, 4 months ago Modified 5 years, 4 months ago

Jun 26, 2015 · I have 12 months of data and am trying to plot each of the line items on a scatter plot where x-axis is variability across the 12 months and the y-axis is the magnitude of the entire year …

416 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 value on a …

How do we interpret these two sets of data (from the initial questionnaire and the final questionnaire)? Since it is not possible for every participant to have the same initial emotions or level on the Likert …