What are the differences between PCA and normalization?

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Theresah Nom Korbieh Zu

In simple English - I like to think of normalization as a pre-processing step that allows you to compare your data apples to apples whereas PCA is a statistic that allows you to compare variations WITHIN the same set of data. That is to say, PCA helps identify and exclude potential outliers in your dataset.

In contract, LDA, is a statistic that allows you to compare variations BETWEEN different sets of data.

I hope this was helpful. Best,

Zenon Gniazdowski

Maybe this explains what is PCA: https://www.researchgate.net/publication/319469038_New_Interpretation_of_Principal_Components_Analysis?

Article New Interpretation of Principal Components Analysis