Unsupervised Learning, Complex Systems, Principal Component, Dimensionality Reduction, Emergence.
dimensionality reduction approach that captures most of the linear variations in the original data as shown below. It’s possible to see that the first component represents the axis where the data is more spread out. An illustrative example of PCA components with two-dimensional data. Image by the