Simple Principal Components
Simple Principal Components
SUMMARY We introduce an algorithm for producing simple approximate principal components directly from a varianceācovariance matrix. At the heart of the algorithm is a series of āsimplicity preservingā linear transformations. Each transformation seeks a direction within a two-dimensional subspace that has maximum variance. However, the choice of directions is limited ā¦