Unsupervised Learning, Complex Systems, Principal Component, Dimensionality Reduction, Emergence.
grow monotonically as one approaches the first components. PCA finds the principal components through a simple linear transformation of the original coordinates Y = XW. The orthogonal transformation is made on column vectors W = (w₁,w₂,…,wₙ) and denotes wₗ as weights of principal components in