Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...

A good way to see where this article is headed is to take a look at the screen shot of a demo program shown in Figure 1. The demo sets up a dummy dataset of six items: [ 5.1 3.5 1.4 0.2] [ 5.4 3.9 1.7 ...

This is a preview. Log in through your library . Abstract Given a covariance matrix, we consider the problem of maximizing the variance explained by a particular linear combination of the input ...