Classification, Pattern Recognition, and Reduction of Dimensionality

Discriminant analysis for time series; Optimum rules for classification into two multivariate normal populations with the same covariance matrix;Large sample approximations and asymptotic expansions of classification statistics; Bayesian discrimination; Classification of growth curves; Nonparametric classification; Logistic discrimination; Nearest neighbor methods in discrimination; The classification and mixture maximum likelihood approaches to cluster analysis; Graphical techniques for multivariate data and for clustering; Cluster analysis software; Single-link clustering algorithms; Theory of multidimensional scaling; Multidimensional scaling and its applications; Intrinsic dimensionality extraction; Intrinsic dimensionality extraction; Structural methods in image analysis and recognition; Image models; Image texture survey; Applications of stochastic languages; A unifying viewpoint on pattern recognition; Logical functions in the problems of empirical prediction; Inference and data tables with missing values; Recognition of electrocardiographic patterns; Waveform parsing systems ...