Three Way Scaling assumes a working knowledge of multidimensional scaling and Matrix Algebra, which are both introduced in earlier volumes of this series. Arabie, Carroll and DeSarbo begin their discussion with an example of the use of the INDSCAL model, they explain the model and give a second extended example. The authors then present a detailed analysis of SINDSCAL and provide an introduction to three-way scaling models as well as individual differences "clustering "models.

At a moderately advanced level, this book seeks to cover the areas of clustering and related methods of data analysis where major advances are being made. Topics include: hierarchical clustering; variable selection and weighting; additive trees and other network models; relevance of neural network models to clustering; the role of computational complexity in cluster analysis; latent class approaches to cluster analysis; theory and method with applications of a hierarchical classes model in psychology and psychopathology; combinatorial data analysis; clusterwise aggregation of relations;...