Big Data Analytics

166 • Big Data Analytics

Why would we use principal component analysis? We would use PCA

when we feel that our understanding of a specic data set is lacking with

regard to interrelationships. Principal component analysis helps establish

which factors seem to be primary to a data set.

When would we use principal component analysis? PCA is a reason-

able choice for data discovery, since we use it to liberate interrelationships

among variables ; this leads to the denition of sets of variables that closely

correlate, which we call “factors.”

Who would use principal component analysis? Anyone looking for

fundamental constructs will use PCA as a ...