In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of mini

Constrained Principal Component Analysis and Related Techniques shows how constrained principal component analysis (CPCA) offers a unified framework for regress

Principal component analysis is probably the oldest and best known of the It was first introduced by Pearson (1901), techniques ofmultivariate analysis. and dev

This book provides a comprehensive introduction to the latest advances in the mathematical theory and computational tools for modeling high-dimensional data dra

This book expounds the principle and related applications of nonlinear principal component analysis (PCA), which is useful method to analyze mixed measurement l