The Structural Representation of Proximity Matrices with MATLAB
£68.00
Part of ASA-SIAM Series on Statistics and Applied Probability
- Authors:
- Lawrence Hubert, University of Illinois, Urbana-Champaign
- Phipps Arabie, Rutgers University, New Jersey
- Jacqueline Meulman, Universiteit Leiden
- Date Published: March 2006
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial null Mathematics for availability.
- format: Paperback
- isbn: 9780898716078
£
68.00
Paperback
Looking for an inspection copy?
This title is not currently available on inspection
-
The Structural Representation of Proximity Matrices with MATLAB presents and demonstrates the use of functions within a MATLAB computational environment, affecting various structural representations for the proximity information that is assumed to be available on a set of objects. The representations included in the book have been developed primarily in the behavioral sciences and applied statistical literature, although interest in these topics now extends more widely to such fields as bioinformatics and chemometrics. This book is divided into three main sections, each based on the general class of representations being discussed. Part I develops linear and circular unidimensional and multidimensional scaling using the city-block metric as the major representational device. Part II discusses characterizations based on various graph-theoretic tree structures, specifically those referred to as ultrametrics and additive trees. Part III uses representations defined solely by order properties, particularly emphasizing what are called (strongly) anti-Robinson forms.
Read more- Intended to provide an applied documentation source for a collection of M-files of use to applied statisticians and data analysts, as well as bioinformaticians, chemometricians, and psychometricians
- Industrial engineers, quantitative psychologists, and behavioral and social scientists will also find the content of this book beneficial
- Two kinds of proximity information are analyzed throughout the book: one-mode and two-mode
Reviews & endorsements
'The Structural Representation of Proximity Matrices with MATLAB combines state of the art proximity matrix representation with a modern programming language, making previously inaccessible techniques accessible to the general user. The material is not just a recapitulation of well-known techniques, but an insightful book that could only have been written by experts in the field. In short, this book fills a major gap in the literature.' Douglas L. Steinley, Assistant Professor, University of Missouri
Customer reviews
Not yet reviewed
Be the first to review
Review was not posted due to profanity
×Product details
- Date Published: March 2006
- format: Paperback
- isbn: 9780898716078
- length: 184 pages
- dimensions: 255 x 177 x 12 mm
- weight: 0.407kg
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial null Mathematics for availability.
Table of Contents
Preface
Part I. (Multi- and Unidimensional) City-Block Scaling:
1. Linear unidimensional scaling
2. Linear multidimensional scaling
3. Circular scaling
4. LUS for two-mode proximity data
Part II. The Representation of Proximity Matrices by Tree Structures:
5. Ultrametrics for symmetric proximity data
6. Additive trees for symmetric proximity data
7. Fitting multiple tree structures to a symmetric sroximity matrix
8. Ultrametrics and additive trees for two-mode (rectangular) proximity data
Part III. The Representation of Proximity Matrices by Structures Dependent on Order (Only):
9. Anti-Robinson matrices for symmetric proximity data
10. Circular anti-Robinson matrices for symmetric proximity data
11. Anti-Robinson matrices for two-mode proximity data
Appendix
Bibliography
Indices.
Sorry, this resource is locked
Please register or sign in to request access. If you are having problems accessing these resources please email lecturers@cambridge.org
Register Sign in» Proceed
You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.
Continue ×Are you sure you want to delete your account?
This cannot be undone.
Thank you for your feedback which will help us improve our service.
If you requested a response, we will make sure to get back to you shortly.
×