Sorry, I don’t understand your question. Can you be more specific?
After doing PCA, it shows clusters, is there any information you are getting from the clusters? just curious if I’m not missing out on any valuable info. BTW this is from the lab
Clustering and PCA are different concepts.
PCA is a method for reducing the number of dimensions in a data set.
The fact that the data set is clustered around specific values is potentially a useful observation.
For example, it shows that the data is not uniformly or randomly distributed.