Publisher's Synopsis
A range of topics and perspectives in classification, clustering, statistics and data analysis are brought together in this volume, including surveys, new methods for clustering objects, and procedures for analysing multivariate or relational data. Emphasized are probabilistic models, pattern recognition and image analysis, the analysis of strains and molecules, algebraic methods from lattice and consensus theory, correspondence and canonical analysis, and the interference between classification and retrieval or expert systems.
