Understanding Principal Component Analysis and Its Role in Data Reduction
Principal component analysis (PCA) is a fundamental statistical technique used to reduce the dimensionality of complex datasets, facilitating easier interpretation and analysis. Its utility spans various fields, including education and research, where understanding underlying patterns is essential. By transforming correlated…