01-17-2015 10:28 PM
You seem to be asking about discriminant analysis, not principal component analysis... For k-nearest-neighbors based discrimination, look at proc discrim with option method=npar. For variable selection, there is proc stepdisc but it doesn't offer non-parametric discrimination.
01-18-2015 02:02 AM
I meant PCA using K-mean as both the algorithm are based on similar principals. I found it here
Thank you for sharing.
01-18-2015 08:54 PM
How is that a concern? I was trying to reiterate the fact that it was PCA and not DA. Can we come back to the original question now?Do you have an example to implement PCA using Kmeans? Thank you