| Dewey Class |
519 |
| Title |
Methods for the Analysis of Asymmetric Proximity Data ([EBook] /) / by Giuseppe Bove, Akinori Okada, Donatella Vicari. |
| Author |
Bove, Giuseppe |
| Added Personal Name |
Okada, Akinori |
| Vicari, Donatella |
| Other name(s) |
SpringerLink (Online service) |
| Edition statement |
1st ed. 2021. |
| Publication |
Singapore : : Springer Singapore : : Imprint: Springer, , 2021. |
| Physical Details |
X, 194 p. 68 illus., 39 illus. in color. : online resource. |
| Series |
Behaviormetrics: Quantitative Approaches to Human Behavior 2524-4035 ; ; 7 |
| ISBN |
9789811631726 |
| Summary Note |
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. A major objective of this book is to present to applied researchers a set of methods and algorithms for graphical representation and clustering of asymmetric relationships. Data frequently concern measurements of asymmetric relationships between pairs of objects from a given set (e.g., subjects, variables, attributes,…), collected in one or more matrices. Examples abound in many different fields such as psychology, sociology, marketing research, and linguistics and more recently several applications have appeared in technological areas including cybernetics, air traffic control, robotics, and network analysis. The capabilities of the presented algorithms are illustrated by carefully chosen examples and supported by extensive data analyses. A review of the specialized statistical software available for the applications is also provided. This monograph is highly recommended to readers who need a complete and up-to-date reference on methods for asymmetric proximity data analysis.: |
| Contents note |
Introduction -- Methods for direct representation of asymmetry -- Analysis of symmetry and skew-symmetry -- Cluster analysis for asymmetry -- Multiway models -- Software. . |
| Mode of acces to digital resource |
Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format. |
| System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users). |
| Internet Site |
https://doi.org/10.1007/978-981-16-3172-6 |
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