Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning

Techniques covered range from traditional multivariate methods, such as multiple regression, principal components, canonical variates, linear discriminant analysis, factor analysis, clustering, multidimensional scaling, and correspondence analysis, to the newer methods of density estimation, projection pursuit, neural networks, and classification and regression trees.