Principal Component Analysis
摘要
This chapter first introduces the definition, theorem, and properties of the overall Principal Component Analysis (PCA), and then describes the concept of sample PCA, including the eigenvalue decomposition method of the covariance matrix and the singular value decomposition method of the data matrix.