Principal Component Analysis (PCA) Algorithm

Principal Component Analysis (PCA) Algorithm is a dimensionality reduction technique used to simplify complex datasets. This algorithm can be implemented using covariance matrix computation and eigenvalue decomposition to identify dominant patterns in data.