Principal Component Analysis – A Deep Dive into Principal Component Analysis and its Linear Algebra Foundations
Principal Component Analysis (PCA) is a statistical method that has gained substantial importance in fields such as machine learning, data analysis, and signal processing. In essence, PCA is a dimensionality reduction technique that transforms large sets of variables into a smaller one, preserving as much of the original data’s variance as possible. Behind the curtains, …
