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Principal component analysis for dimensionality reduction

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Community Manager
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Principal component analysis for dimensionality reduction

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.

 

Eigenfaces-method.png

 

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.

Community Manager
Posts: 486

Re: Principal component analysis for dimensionality reduction

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.

 

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