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01-17-2015 09:39 PM

Hello everyone, Can you please suggest how to use PCA using K means in SAS? Are there separate procedures for the classifier, evaluation, and optimization of this algorithm?

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Posted in reply to Asudipta

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.

PG

PG

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Posted in reply to PGStats

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

http://http://epubs.siam.org/doi/pdf/10.1137/1.9781611972740.54.

Thank you for sharing.

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Posted in reply to Asudipta

01-18-2015 05:25 PM

Which of the three *experiments* described in that paper do you wish to implement? - PG

PG

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Posted in reply to PGStats

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

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Posted in reply to Asudipta

01-18-2015 11:44 PM

I think you need a combination of proc cluster and proc princomp.