Data Science from the Ground Up

The Basics: Principal Component Analysis

An unsupervised method for variable grouping and dimensionality reduction

Principle Component Analysis sits somewhere between unsupervised learning and data processing. On the one hand, it’s an unsupervised method, but one that groups features together rather than points as in a clustering algorithm. But principal component analysis ends up being most useful, perhaps, when used in conjunction with a supervised model, where it can be…