| 书目名称 | Modern Multidimensional Scaling | | 副标题 | Theory and Applicati | | 编辑 | Ingwer Borg,Patrick J. F. Groenen | | 视频video | | | 概述 | Second edition of a successful book.Provides an up-to-date comprehensive treatment of multidimensional scaling (MDS), a statistical technique used to analyze the structure of similarity or dissimilari | | 丛书名称 | Springer Series in Statistics | | 图书封面 |  | | 描述 | Multidimensionalscaling(MDS)isatechniquefortheanalysisofsimilarity or dissimilarity data on a set of objects. Such data may be intercorrelations of test items, ratings of similarity on political candidates, or trade indices forasetofcountries.MDSattemptstomodelsuchdataasdistancesamong pointsinageometricspace.Themainreasonfordoingthisisthatonewants a graphical display of the structure of the data, one that is much easier to understand than an array of numbers and, moreover, one that displays the essential information in the data, smoothing out noise. There are numerous varieties of MDS. Some facets for distinguishing among them are the particular type of geometry into which one wants to mapthedata,themappingfunction,thealgorithmsusedto?ndanoptimal data representation, the treatment of statistical error in the models, or the possibility to represent not just one but several similarity matrices at the same time. Other facets relate to the di?erent purposes for which MDS has been used, to various ways of looking at or “interpreting” an MDS representation, or to di?erences in the data required for the particular models. Inthisbook,wegiveafairlycomprehensivepresentationofMDS.Forthe reade | | 出版日期 | Book 2005Latest edition | | 关键词 | algorithms; best fit; correlation; marketing; modeling; multidimensional scaling; statistics | | 版次 | 2 | | doi | https://doi.org/10.1007/0-387-28981-X | | isbn_softcover | 978-1-4419-2046-1 | | isbn_ebook | 978-0-387-28981-6Series ISSN 0172-7397 Series E-ISSN 2197-568X | | issn_series | 0172-7397 | | copyright | Springer-Verlag New York 2005 |
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发表于 2025-3-21 19:07:06
