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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.
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Présentation de l'éditeur
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.
Revue de presse
'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
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSociety for Industrial and Applied Mathematics
- Date d'édition2006
- ISBN 10 0898716071
- ISBN 13 9780898716078
- ReliureBroché
- Langueanglais
- Nombre de pages184
- Coordonnées du fabricantnon disponible
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The Structural Representation of Proximity Matrices with MATLAB: 19 (ASA-SIAM Series on Statistics and Applied Probability, Series Number 19)
Edité par
Society for Industrial and Applied Mathematics 00/r /01 M, 2006
ISBN 10 : 0898716071
ISBN 13 : 9780898716078
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Image d'archives
The Structural Representation of Proximity Matrices with MATLAB: 19 (ASA-SIAM Series on Statistics and Applied Probability, Series Number 19)
Edité par
Society for Industrial and Applied Mathematics 00/r /01 M, 2006
ISBN 10 : 0898716071
ISBN 13 : 9780898716078
Ancien ou d'occasion
Couverture souple
Vendeur : AwesomeBooks, Wallingford, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . N° de réf. du vendeur 7719-9780898716078
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