The Structural Representation of Proximity Matrices with MATLAB
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Structural Representation of Proximity Matrices with MATLAB by Lawrence J. Hubert
Book DescriptionThe 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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Book DetailsISBN: 9780898716078
(228mm x 152mm x 12mm)
Imprint: Society for Industrial & Applied Mathematics,U.S.
Publisher: Society for Industrial & Applied Mathematics,U.S.
Publish Date: 1-Mar-2006
Country of Publication: United States
Books By Author Lawrence J. Hubert
Combinatorial Data Analysis, Hardback (January 1987)» View all books by Lawrence J. Hubert
Combinatorial data analysis refers to methods for the study of data sets where the arrangement of objects is central.
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