Teoria De Estructuras

The Structural Representation of Proximity Matrices with MATLAB

ASA-SIAM Series on
SIAM The ASA-SIAM Series on Statistics and Applied Probability is published SIAM jointly by the American Statistical Association and the Society for Industrial and Applied Mathematics. The series consists of a broad spectrum of books on topics in statistics and applied probability. The purpose of the seriesis to provide inexpensive, quality publications of interest to the intersecting membership of the two societies.

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Martin T. Wells Cornell University, Editor-in-Chief H. T. Banks North Carolina State University Joseph Gardiner Michigan State University Douglas M. Hawkins University of Minnesota Susan Holmes Stanford University Hubert,L, Arabie, P., and Meulman, }., The Structural Representation of Proximity Matrices with MATLAB Nelson, P. R., Wludyka, P. S., and Copeland, K. A. R, The Analysis of Means: A Graphical Method for Comparing Means, Rates, and Proportions Burdick, R. K., Borror, C. M., and Montgomery, D. C, Design and Analysis of Gauge R&R Studies: Making Decisions with Confidence Intervals in Random and Mixed ANOVAModels Albert, )., Bennett, ]., and Cochran, J. ]., eds., Anthology of Statistics in Sports Smith, W. R, Experimental Design for Formulation Baglivo, J. A., Mathematica Laboratories for Mathematical Statistics: Emphasizing Simulation and Computer Intensive Methods Lee, H. K. H., Bayesian Nonparametrics via Neural Networks O'Gorman, T. W., Applied Adaptive Statistical Methods: Tests of Significanceand Confidence Intervals Ross, T. j., Booker, J. M., and Parkinson, W. j., eds., Fuzzy Logic and Probability Applications: Bridging the Cap Nelson, W. B., Recurrent Events Data Analysis for Product Repairs, Disease Recurrences, and Other Applications Mason, R. L. and Young, J. C, Multivariate Statistical Process Control with Industrial Applications Smith, P. L., A Primer for Sampling Solids,Liquids, and Cases: Based on the Seven Sampling Errors of Pierre Gy Meyer, M. A. and Booker, J. M., Eliciting and Analyzing Expert judgment: A Practical Guide Latouche, G. and Ramaswami, V., Introduction to Matrix Analytic Methods in Stochastic Modeling Peck, R., Haugh, L., and Goodman, A., Statistical Case Studies: A Collaboration Between Academe and Industry, Student Edition Peck, R., Haugh, L., andGoodman, A., Statistical Case Studies: A Collaboration Between Academe and Industry Barlow, R., Engineering Reliability Czitrom, V. and Spagon, P. D., Statistical Case Studies for Industrial Process Improvement Lisa LaVange University of North Carolina David Madigan Rutgers University Francoise Seillier-Moiseiwitsch Georgetown University Mark van der Laan University of California, Berkeley

TheStructural Representation of Proximity Matrices with MATLAB
Lawrence Hubert
University of Illinois Champaign, Illinois

Phipps Arable
Rutgers Business School of Newark and New Brunswick Newark, New Jersey

Jacqueline Meulman
Leiden University Leiden, The Netherlands

slam.
Society tor Industrial and Applied Mathematics Philadelphia, Pennsylvania American Statistical AssociationAlexandria, Virginia

The correct bibliographic citation for this book is as follows: Hubert, Lawrence, Phipps Arabie, and Jacqueline Meulman, The Structural Representation of Proximity Matrices with MATLAB, ASA-SIAM Series on Statistics and Applied Probability, SIAM, Philadelphia, ASA, Alexandria, VA, 2006. Copyright © 2006 by the American Statistical Association and the Society for Industrial andApplied Mathematics. 10987654321 All rights reserved. Printed in the United States of America. No part of this book may be reproduced, stored, or transmitted in any manner without the written permission of the publisher. For information, write to the Society for Industrial and Applied Mathematics, 3600 University City Science Center, Philadelphia, PA 19104-2688. Trademarked names may be used in...