Relationships between sets of variables of different kinds are of interest in many branches of
science. The question of the analysis of relationships of this sort has nevertheless rather …

Multidimensionalscaling (MDS) isatechniquefortheanalysisofsimilarity or dissimilarity data
on a set of objects. Such data may be intercorrelations of test items, ratings of similarity on …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

Publisher Summary Multidimensional scaling (MDS) is a versatile technique for
understanding and displaying the structure of multivariate data. This technique has seen …

Multidimensional scaling (MDS) is a technique used to extract a set of independent
variables from a proximity matrix or matrices. Applications of MDS are found in a wide range …

In this paper, a bibliometric study of the computational intelligence field is presented.
Bibliometric maps showing the associations between the main concepts in the field are …

Over the past decade extensive research has examined the segregation of the human brain
into large-scale functional networks. The resulting network maps, ie parcellations, are now …

The Gifi system of analyzing categorical data through non-linear varieties of classical
multivariate analysis techniques is reviewed. The system is characterized by the optimal …

Judging goodness of fit in multidimensional scaling requires a comprehensive set of
diagnostic tools instead of relying on stress rules of thumb. This article elaborates on …

Early work in strategic management emphasized single case studies, followed by research
on corporate diversification strategy, firm heterogeneity, strategic groups, and generic …