Should Principal components be normalized before applying K means on them?

Question

I want to get the Principal components of a dataset and apply K mean clustering on them. Do I need to Normalized the PCA output before applying Kmeans on them ?

Brian Spiering · Answer

No - There is no need to normalize after Principal Component Analysis (PCA) because each dimension is on the same scale.

Should Principal components be normalized before applying K means on them?

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