About the Book
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 79. Chapters: Central tendency, Multivariate random variable, Principal component analysis, Cluster analysis, Factor analysis, Nonlinear dimensionality reduction, Copula, Non-negative matrix factorization, Linear discriminant analysis, Structural equation modeling, Information bottleneck method, Distance correlation, Geometric median, Multidimensional scaling, Wishart distribution, Independent component analysis, Sufficient dimension reduction, Simultaneous equations model, Procrustes analysis, Energy distance, Canonical correlation, Growth curve, Mahalanobis distance, Detrended correspondence analysis, Elastic map, Kernel principal component analysis, Matching pursuit, Neighbourhood components analysis, Stress majorization, Online NMF, Biplot, Cluster-weighted modeling, Geodemographic segmentation, Multivariate analysis, CP decomposition, Wold's theorem, Panel data, Canonical analysis, Multiple correspondence analysis, Similarity matrix, Optimal discriminant analysis, Centering matrix, Quadratic form, Stationary subspace analysis, RV coefficient, High-dimensional statistics, Conjoint analysis, Generalized linear array model, Confirmatory factor analysis, Bivariate analysis, Ordination, General linear model, Varimax rotation, Pseudo-determinant, Multidimensional panel data, Factorial code, Sparse PCA, Owen's T function, Generalized Procrustes analysis, FastICA, Non-linear iterative partial least squares, Projection pursuit, Multiple discriminant analysis, Scatter matrix, Multidimensional analysis, Discriminant function analysis, Tucker decomposition, Higher-order factor analysis, Generalized multidimensional scaling, Ancestral graph, Reification.
