Should Principal components be normalized before applying K means on them? 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 ?
No - There is no need to normalize after Principal Component Analysis (PCA) because each dimension is on the same scale.