Mar 16, 2017 · I have a question in which it asks to verify whether if the Uniform distribution ($ {\rm Uniform} (a,b)$) is normalized. For one, what does it mean for any distribution to be normalized? And …

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, Standardiz...

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 normalization? ...

If you have a histogram with frequency on the y-axis and bins for different ranges of values on the x-axis, then it is reasonable that the label on the y-axis should be frequency. But if these

Feb 4, 2015 · Recently I have started looking for the definition of normalized Euclidean distance between two real vectors $u$ and $v$. So far, I have discovered two apparently ...

Nov 13, 2020 · How to interpret NRMSE (Normalised Root Mean Square Error) without comparing models? Ask Question Asked 5 years ago Modified 5 years ago

BM25 provides a function that assigns a score that is a function of a query and a document. The score is computed for each document in the collection and can be used to rank documents, but this sco...

Jan 5, 2025 · The scale of SHAP values depends on the scale of our model's output, so when you mentioned magnitudes ($-2, +2$) against ($-0.00005, 0.00005$) this is likely due to looking at raw …

It it legitimate to apply a one-way ANOVA to data that have been normalised to the untreated controls? Ask Question Asked 12 years, 9 months ago Modified 12 years, 9 months ago

The use of normalized weights is done to reduce extreme weights on one end or the other of the spectrum. It's possible that, for your data, no or few such weights occurred, so the normalized …