Principal component analysis for dimensionality reduction

AnnaBrown — Tue, 27 Oct 2015 15:06:03 GMT

Working with big data with a ton of features that may be highly correlated? Consider the principal component analysis to help you out. SAS’ Funda Gunes describes the method through a facial recognition example in this blog post.

By the way, you’ll find a feed of the Subconscious Musings advanced analytics blog in the right column of the Data Mining Community. Feel free to scan for posts of interest from time to time.

Re: Principal component analysis for dimensionality reduction

AnnaBrown — Mon, 23 May 2016 18:22:13 GMT

Adding a link to the code on GitHub here for reference:

https://github.com/sassoftware/enlighten-apply/tree/master/SAS_UE_SGF2016_faces

Note that this runs on SAS University Edition as well.

topic Principal component analysis for dimensionality reduction in SAS Data Science

Principal component analysis for dimensionality reduction

Re: Principal component analysis for dimensionality reduction