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Principal Component Analysis (PCA) for non-continuous numerical data

I am learning PCA and the question is the following: can be PCA applied to a dataset containing both numerical continuous and numerical discrete variables? Thank you
BlueSea's user avatar
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Looking at feature contribution after classifying groups using components

I have a lot of features and many are correlated, so I performed dimensionality reduction. I then used these components in binary classification and got high accuracy. I also performed feature ...
Din's user avatar
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How to plot a PCA table [closed]

I'm studying PCA method with the package PCAmixdata because I have a dataset with numerical and categorical variable. This is my example code in R: ...
Inuraghe's user avatar
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