Advances in Classification and Data Analysis

This volume presents new developments in classification and mulitivariate analysis. Topics that have been treated with considerable attention are cluster analysis, discriminant analysis, proximity structure analysis, multidimensional scaling, genetic algorithms, neural networks, factorial methods, textual data analysis, regression models, non-parametric methods, and spatial and time series analysis. Readers will find new methodologies and algorithms in topics that are of central interest in modern statistics, with applications that demonstrate the usefulness of the proposed techniques.