Unsupervised Learning, Complex Systems, Principal Component, Dimensionality Reduction, Emergence.
author. When applied to state configurations, i.e., the multidimensional space in which each system state is located, PCA finds the most significant linear variations in data. Thus, the method will make a linear combination of the base vectors that form each system state so that the variance grows