Title: The Structural Representation of Proximity Matrices with MATLAB Paperback: 19 (ASA-SIAM Series on Statistics and Applied Probability, Series Number 19)
Publisher: Society for Industrial and Applied Mathematics
Publication Date: 2006
Language: English
ISBN 10: 0898716071
ISBN 13: 9780898716078
Binding: Encuadernaci�n de tapa blanda
Condition: Bueno

About this title

Synopsis

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.

About the Author

Lawrence Hubert is Professor of Psychology and Statistics at the University of Illinois Urbana-Champaign.Phipps Arabie is Professor of Management and Psychology at Rutgers University.Jacqueline Meulman is Professor of Applied Data Theory in the Faculty of Social and Behavioral Sciences of Leiden University, The Netherlands.

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