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Multidimensional Scaling Applications
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Book Synopsis Modern Multidimensional Scaling by : Ingwer Borg
Download or read book Modern Multidimensional Scaling written by Ingwer Borg and published by Springer Science & Business Media. This book was released on 2013-04-18 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multidimensional scaling (MDS) is a technique for the analysis of similarity 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 for a set of countries. MDS attempts to model such data as distances among points in a geometric space. The main reason for doing this is that one wants 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 map the data, the mapping function, the algorithms used to find an optimal 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 different purposes for which MDS has been used, to various ways of looking at or "interpreting" an MDS representation, or to differences in the data required for the particular models. In this book, we give a fairly comprehensive presentation of MDS. For the reader with applied interests only, the first six chapters of Part I should be sufficient. They explain the basic notions of ordinary MDS, with an emphasis on how MDS can be helpful in answering substantive questions.
Book Synopsis Multidimensional Scaling by : Joseph B. Kruskal
Download or read book Multidimensional Scaling written by Joseph B. Kruskal and published by SAGE Publications. This book was released on 1978-01-01 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Outlines a set of techniques that enables a researcher to explore the hidden structure of large databases. These techniques use proximities to find a configuration of points that reflect the structure in the data.
Book Synopsis Applied Multidimensional Scaling and Unfolding by : Ingwer Borg
Download or read book Applied Multidimensional Scaling and Unfolding written by Ingwer Borg and published by Springer. This book was released on 2018-05-16 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for applied researchers. MDS is used for the analysis of proximity data on a set of objects, representing the data as distances between points in a geometric space (usually of two dimensions). Unfolding is a related method that maps preference data (typically evaluative ratings of different persons on a set of objects) as distances between two sets of points (representing the persons and the objects, resp.). This second edition has been completely revised to reflect new developments and the coverage of unfolding has also been substantially expanded. Intended for applied researchers whose main interests are in using these methods as tools for building substantive theories, it discusses numerous applications (classical and recent), highlights practical issues (such as evaluating model fit), presents ways to enforce theoretical expectations for the scaling solutions, and addresses the typical mistakes that MDS/unfolding users tend to make. Further, it shows how MDS and unfolding can be used in practical research work, primarily by using the smacof package in the R environment but also Proxscal in SPSS. It is a valuable resource for psychologists, social scientists, and market researchers, with a basic understanding of multivariate statistics (such as multiple regression and factor analysis).
Book Synopsis Introduction to Multidimensional Scaling by : S. S. Schiffman
Download or read book Introduction to Multidimensional Scaling written by S. S. Schiffman and published by . This book was released on 1981 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Multidimensional Scaling by : Forrest W. Young
Download or read book Multidimensional Scaling written by Forrest W. Young and published by Psychology Press. This book was released on 2013-05-13 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This outstanding presentation of the fundamentals of multidimensional scaling illustrates the applicability of MDS to a wide variety of disciplines. The first two sections provide ground work in the history and theory of MDS. The final section applies MDS techniques to such diverse fields as physics, marketing, and political science.
Book Synopsis Geometric Structure of High-Dimensional Data and Dimensionality Reduction by : Jianzhong Wang
Download or read book Geometric Structure of High-Dimensional Data and Dimensionality Reduction written by Jianzhong Wang and published by Springer Science & Business Media. This book was released on 2012-04-28 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Geometric Structure of High-Dimensional Data and Dimensionality Reduction" adopts data geometry as a framework to address various methods of dimensionality reduction. In addition to the introduction to well-known linear methods, the book moreover stresses the recently developed nonlinear methods and introduces the applications of dimensionality reduction in many areas, such as face recognition, image segmentation, data classification, data visualization, and hyperspectral imagery data analysis. Numerous tables and graphs are included to illustrate the ideas, effects, and shortcomings of the methods. MATLAB code of all dimensionality reduction algorithms is provided to aid the readers with the implementations on computers. The book will be useful for mathematicians, statisticians, computer scientists, and data analysts. It is also a valuable handbook for other practitioners who have a basic background in mathematics, statistics and/or computer algorithms, like internet search engine designers, physicists, geologists, electronic engineers, and economists. Jianzhong Wang is a Professor of Mathematics at Sam Houston State University, U.S.A.
Book Synopsis Multidimensional Data Visualization by : Gintautas Dzemyda
Download or read book Multidimensional Data Visualization written by Gintautas Dzemyda and published by Springer Science & Business Media. This book was released on 2012-11-08 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent developments in multidimensional data visualization, presenting both new methods and modifications on classic techniques. Throughout the book, various applications of multidimensional data visualization are presented including its uses in social sciences (economy, education, politics, psychology), environmetrics, and medicine (ophthalmology, sport medicine, pharmacology, sleep medicine). The book provides recent research results in optimization-based visualization. Evolutionary algorithms and a two-level optimization method, based on combinatorial optimization and quadratic programming, are analyzed in detail. The performance of these algorithms and the development of parallel versions are discussed. The utilization of new visualization techniques to improve the capabilies of artificial neural networks (self-organizing maps, feed-forward networks) is also discussed. The book includes over 100 detailed images presenting examples of the many different visualization techniques that the book presents. This book is intended for scientists and researchers in any field of study where complex and multidimensional data must be represented visually.
Book Synopsis Multidimensional Scaling: Applications by : Roger N. Shepard
Download or read book Multidimensional Scaling: Applications written by Roger N. Shepard and published by . This book was released on 1972 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introduction to Multidimensional Scaling by : Susan S. Schiffman
Download or read book Introduction to Multidimensional Scaling written by Susan S. Schiffman and published by Academic Press Incorporated. This book was released on 1981-10-28 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Multidimensional Scaling
Book Synopsis Multidimensional Scaling; Theory and Applications in the Behavioral Sciences: Applications. Introduction to volume II by : Roger N. Shepard
Download or read book Multidimensional Scaling; Theory and Applications in the Behavioral Sciences: Applications. Introduction to volume II written by Roger N. Shepard and published by . This book was released on 1972 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Multidimensional Scaling Applications in Anthropology by : Antone Kimball Romney
Download or read book Multidimensional Scaling Applications in Anthropology written by Antone Kimball Romney and published by . This book was released on 1973 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Handbook of Data Visualization by : Chun-houh Chen
Download or read book Handbook of Data Visualization written by Chun-houh Chen and published by Springer Science & Business Media. This book was released on 2007-12-18 with total page 932 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This book gives an overview of modern data visualization methods, both in theory and practice. It details modern graphical tools such as mosaic plots, parallel coordinate plots, and linked views. Coverage also examines graphical methodology for particular areas of statistics, for example Bayesian analysis, genomic data and cluster analysis, as well software for graphics.
Book Synopsis Multidimensional Scaling by : A. Kimball Romney
Download or read book Multidimensional Scaling written by A. Kimball Romney and published by . This book was released on 1972 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Multidimensional Scaling by : Joseph B. Kruskal
Download or read book Multidimensional Scaling written by Joseph B. Kruskal and published by SAGE. This book was released on 1978 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic concepts of multidimensional scaling; Interpretation of the configuration; Dimensionality; Three way multidimensional scaling; Preparing the input for multidimensional scaling.
Book Synopsis Multidimensional Scaling; Theory and Applications in the Behavioral Sciences: Theory. Introduction to volume I by : Roger N. Shepard
Download or read book Multidimensional Scaling; Theory and Applications in the Behavioral Sciences: Theory. Introduction to volume I written by Roger N. Shepard and published by . This book was released on 1972 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Multidimensional Scaling by : Forrest W. Young
Download or read book Multidimensional Scaling written by Forrest W. Young and published by . This book was released on 1983 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Matrix-Based Introduction to Multivariate Data Analysis by : Kohei Adachi
Download or read book Matrix-Based Introduction to Multivariate Data Analysis written by Kohei Adachi and published by Springer. This book was released on 2016-10-11 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the matrix-based learning of such models and objective functions is the fastest way to comprehend multivariate data analysis. The text is arranged so that readers can intuitively capture the purposes for which multivariate analysis procedures are utilized: plain explanations of the purposes with numerical examples precede mathematical descriptions in almost every chapter. This volume is appropriate for undergraduate students who already have studied introductory statistics. Graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis will also find the book useful, as it is based on modern matrix formulations with a special emphasis on singular value decomposition among theorems in matrix algebra. The book begins with an explanation of fundamental matrix operations and the matrix expressions of elementary statistics, followed by the introduction of popular multivariate procedures with advancing levels of matrix algebra chapter by chapter. This organization of the book allows readers without knowledge of matrices to deepen their understanding of multivariate data analysis.
