0
$\begingroup$

the title might not be the best to adress my question. Here is my problem

I have a data set with 21 features. and I want to cluster the data to interpret if there are any insights that I can have by clustering the data.

I started the process with PCA and reduced it to 2 component and then trained k-means clustering model with 4 central points.

When I visualize it, my clusters look nice and tidy based on 2 components. The problem that I can not solve is how I can go from those two components back to the 21 features in my original set.

That is important since I need to seee which of those features are important and make an analysis through those features instead of those 2 components.

Mehmet

$\endgroup$

1 Answer 1

0
$\begingroup$

If you have JMP, you will have a clear picture of varibales corresponding to the components. JMP shows loadings of varibales for each component. You can see varibales loadings foe each component in R using pca$rotation

$\endgroup$
2

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct.

Not the answer you're looking for? Browse other questions tagged or ask your own question.