This book reports the proceedings of a series of visits to the University of Exeter organized in the form of a symposium under the title 'Recent advances in descriptive multivariate analysis', during the period May 1992 to December 1993. The aim of the initiative was to fill in the gap between multivariate techniques as reported in standard textbooks and new approaches not yet systematically covered. Thus, the volume editor hopes that this book will be treated as a 'second level' text on descriptive multivariate techniques.
The book is organized into twelve chapters. The first six contributions cover cluster analysis, principal component analysis and related developments. The seventh is an introduction to graphical modelling. The theory of biplots is extensively presented in three chapters. The remaining two chapters are more technical and report specific contributions on selected topics.
In more detail, the chapters are as follows: Chapter 1 Clustering from the perspective of combinatorial data analysis (P. Arabie and L. J. Hubert); Chapter 2 Developments in principal component analysis (B. D. Flury); Chapter 3 Canonical discriminant analysis: comparison of resampling methods and convex-hull approximation (C. Weihs); Chapter 4 Non-linear methods for the analysis of homogeneity and heterogeneity (W. J. Heiser and J. J. Meulman); Chapter 5 Principal component models for patterned covariance matrices, with applications to canonical correlation analysis of several sets of variables (B. D. Flury and B. E. Neuenschwander); Chapter 6 Orthogonal and projection Procrustes analysis (J. C. Gower); Chapter 7 Graphical modelling (D. Edwards); Chapter 8 Convergent computation by iterative majorization: theory and applications in multi-