Methods for the Analysis of Asymmetric Proximity Data

This book provides an accessible introduction and practical guidelines to apply asymmetric multidimensional scaling, cluster analysis, and related methods to asymmetric one-mode two-way and three-way asymmetric data. It is recommended to readers who need a complete and up-to-date reference on methods for asymmetric proximity data analysis.

Format: Paperback / softback
Length: 194 pages
Publication date: 16 August 2022
Publisher: Springer Verlag, Singapore

This comprehensive book offers an accessible introduction and practical guidelines for applying asymmetric multidimensional scaling, cluster analysis, and related methods to asymmetric one-mode two-way and three-way asymmetric data. Its primary objective is to provide applied researchers with a comprehensive set of methods and algorithms for graphical representation and clustering of asymmetric relationships. Data in these contexts often involve measurements of asymmetric relationships between pairs of objects from a given set, collected in one or more matrices. Examples of such data can be found across various fields, including psychology, sociology, marketing research, linguistics, and more recently, technological areas such as cybernetics, air traffic control, robotics, and network analysis.

To illustrate the capabilities of the presented algorithms, carefully chosen examples are provided, accompanied by extensive data analyses. Additionally, a review of the specialized statistical software available for these applications is presented, making this monograph an invaluable resource for readers seeking a comprehensive and up-to-date reference on methods for asymmetric proximity data analysis.

Weight: 320g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811631740
Edition number: 1st ed. 2021