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- normalization - Why do we need to normalize data before principal . . .
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?
- How to normalize data to 0-1 range? - Cross Validated
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 value on a scale of 0 to 1
- Is it a good practice to always scale normalize data for machine . . .
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 normalizing, you are actually throwing away some information about the data such as the absolute maximum and minimum values So, there is no rule of thumb
- Whats the difference between Normalization and Standardization?
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
- Why normalize images by subtracting datasets image mean, instead of . . .
Consistency: Normalizing with the dataset mean ensures all images are treated the same, providing a stable input distribution Preserves Important Features: Keeps global differences like brightness and contrast between images — useful for learning
- The correct way to normalize time series data - Cross Validated
A question very similar to mine has been asked already: Zero mean unit variance normalization of multivariate time series I'm asking a new question because that one didn't have any replies I'm
- Normalizing data for better interpretation of results?
0 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 worse than just visual interpretation - if you have a model that assumes additive errors, normalizing as you've done causes the errors to become multiplicative
- standard deviation - normalizing std dev? - Cross Validated
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 amp;L data where the line items are things such as Sales,
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