More Books:

Modern Multidimensional Scaling
Language: en
Pages: 472
Authors: Ingwer Borg, Patrick Groenen
Categories: Mathematics
Type: BOOK - Published: 2013-04-18 - Publisher: Springer Science & Business Media

Multidimensional scaling (MDS) is a technique for the analysis of similarity or dissimilarity data on a set of objects. Such data may be intercorrelations of test items, ratings of similarity on political candidates, or trade indices for a set of countries. MDS attempts to model such data as distances among
Modern Multidimensional Scaling
Language: en
Pages: 496
Authors: Ingwer Borg, Patrick Groenen
Categories: Mathematics
Type: BOOK - Published: 2014-01-15 - Publisher:

Books about Modern Multidimensional Scaling
Modern Multidimensional Scaling
Language: en
Pages: 614
Authors: I. Borg, P. J. F. Groenen
Categories: Social Science
Type: BOOK - Published: 2008-11-01 - Publisher: Springer

The first edition was released in 1996 and has sold close to 2200 copies. Provides an up-to-date comprehensive treatment of MDS, a statistical technique used to analyze the structure of similarity or dissimilarity data in multidimensional space. The authors have added three chapters and exercise sets. The text is being
Applied Multidimensional Scaling
Language: en
Pages: 113
Authors: Ingwer Borg, Patrick JF Groenen, Patrick Mair
Categories: Computers
Type: BOOK - Published: 2012-10-30 - Publisher: Springer Science & Business Media

This book introduces MDS as a psychological model and as a data analysis technique for the applied researcher. It also discusses, in detail, how to use two MDS programs, Proxscal (a module of SPSS) and Smacof (an R-package). The book is unique in its orientation on the applied researcher, whose
Applied Multidimensional Scaling and Unfolding
Language: en
Pages: 122
Authors: Ingwer Borg, Patrick J.F. Groenen, Patrick Mair
Categories: Computers
Type: BOOK - Published: 2018-05-16 - Publisher: Springer

This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for applied researchers. MDS is used for the analysis of proximity data on a set of objects, representing the data as distances between points in a geometric space (usually of two dimensions). Unfolding is a related method that