Principal Component Analysis (PCA)
PCA is an exploratory technique. The central aim is to reduce the dimensionality of multivariate data set while accounting for as much of the original variation as possible in the data set. The principal components are most commonly used as a means of constructing an informative graphical representation of the data or as input to some other analysis.