Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
The Majorization Approach To Multidimensional Scaling
Download The Majorization Approach To Multidimensional Scaling full books in PDF, epub, and Kindle. Read online The Majorization Approach To Multidimensional Scaling ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis The Majorization Approach to Multidimensional Scaling by : Patrick J. F. Groenen
Download or read book The Majorization Approach to Multidimensional Scaling written by Patrick J. F. Groenen and published by . This book was released on 1993 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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, Second Edition by : Trevor F. Cox
Download or read book Multidimensional Scaling, Second Edition written by Trevor F. Cox and published by CRC Press. This book was released on 2000-09-28 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multidimensional scaling covers a variety of statistical techniques in the area of multivariate data analysis. Geared toward dimensional reduction and graphical representation of data, it arose within the field of the behavioral sciences, but now holds techniques widely used in many disciplines. Multidimensional Scaling, Second Edition extends the popular first edition and brings it up to date. It concisely but comprehensively covers the area, summarizing the mathematical ideas behind the various techniques and illustrating the techniques with real-life examples. A computer disk containing programs and data sets accompanies the book.
Book Synopsis Iterative Solution of Nonlinear Equations in Several Variables by : J. M. Ortega
Download or read book Iterative Solution of Nonlinear Equations in Several Variables written by J. M. Ortega and published by Elsevier. This book was released on 2014-05-10 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Science and Applied Mathematics: Iterative Solution of Nonlinear Equations in Several Variables presents a survey of the basic theoretical results about nonlinear equations in n dimensions and analysis of the major iterative methods for their numerical solution. This book discusses the gradient mappings and minimization, contractions and the continuation property, and degree of a mapping. The general iterative and minimization methods, rates of convergence, and one-step stationary and multistep methods are also elaborated. This text likewise covers the contractions and nonlinear majorants, convergence under partial ordering, and convergence of minimization methods. This publication is a good reference for specialists and readers with an extensive functional analysis background.
Book Synopsis Applied Multidimensional Scaling by : Ingwer Borg
Download or read book Applied Multidimensional Scaling written by Ingwer Borg and published by Springer Science & Business Media. This book was released on 2012-10-30 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces MDS as a psychological model and as a data analysis technique for the applied researcher. It also discusses, in detail, how to use two MDS programs, Proxscal (a module of SPSS) and Smacof (an R-package). The book is unique in its orientation on the applied researcher, whose primary interest is in using MDS as a tool to build substantive theories. This is done by emphasizing practical issues (such as evaluating model fit), by presenting ways to enforce theoretical expectations on the MDS solution, and by discussing typical mistakes that MDS users tend to make. The primary audience of this book are psychologists, social scientists, and market researchers. No particular background knowledge is required, beyond a basic knowledge of statistics.
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).
Download or read book Data Analysis written by Gérard Govaert and published by John Wiley & Sons. This book was released on 2013-03-04 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first part of this book is devoted to methods seeking relevant dimensions of data. The variables thus obtained provide a synthetic description which often results in a graphical representation of the data. After a general presentation of the discriminating analysis, the second part is devoted to clustering methods which constitute another method, often complementary to the methods described in the first part, to synthesize and to analyze the data. The book concludes by examining the links existing between data mining and data analysis.
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.
Book Synopsis New Approaches in Classification and Data Analysis by : Edwin Diday
Download or read book New Approaches in Classification and Data Analysis written by Edwin Diday and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 695 pages. Available in PDF, EPUB and Kindle. Book excerpt: The subject of this book is the analysis and processing of structural or quantitative data with emphasis on classification methods, new algorithms as well as applications in various fields related to data analysis and classification. The book presents the state of the art in world-wide research and application of methods from the fields indicated above and consists of survey papers as well as research papers.
Book Synopsis Information Systems and Data Analysis by : Hans-Hermann Bock
Download or read book Information Systems and Data Analysis written by Hans-Hermann Bock and published by Springer Science & Business Media. This book was released on 2013-03-13 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 17th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Kaiserslautern, March 3 - 5, 1993
Book Synopsis From Data to Knowledge by : Wolfgang A. Gaul
Download or read book From Data to Knowledge written by Wolfgang A. Gaul and published by Springer Science & Business Media. This book was released on 2013-03-12 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: The subject of this book is the incorporation and integration of mathematical and statistical techniques and information science topics into the field of classification, data analysis, and knowledge organization. Readers will find survey papers as well as research papers and reports on newest results. The papers are a combination of theoretical issues and applications in special fields: Spatial Data Analysis, Economics, Medicine, Biology, and Linguistics.
Book Synopsis Parallel Scientific Computing and Optimization by : Raimondas Ciegis
Download or read book Parallel Scientific Computing and Optimization written by Raimondas Ciegis and published by Springer Science & Business Media. This book was released on 2008-10-08 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 self-contained chapters, including survey chapters and surveys, written by distinguished researchers in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel algorithms for matrix computations, parallel optimization, management of parallel programming models and data, with the largest focus on parallel scientific computing in industrial applications. This volume is intended for scientists and graduate students specializing in computer science and applied mathematics who are engaged in parallel scientific computing.
Download or read book Data Analysis written by Wolfgang A. Gaul and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Data Analysis" in the broadest sense is the general term for a field of activities of ever-increasing importance in a time called the information age. It covers new areas with such trendy labels as, e.g., data mining or web mining as well as traditional directions emphazising, e.g., classification or knowledge organization. Leading researchers in data analysis have contributed to this volume and delivered papers on aspects ranging from scientific modeling to practical application. They have devoted their latest contributions to a book edited to honor a colleague and friend, Hans-Hermann Bock, who has been active in this field for nearly thirty years.
Book Synopsis Stochastic Global Optimization by : Anatoly Zhigljavsky
Download or read book Stochastic Global Optimization written by Anatoly Zhigljavsky and published by Springer Science & Business Media. This book was released on 2007-11-20 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the main methodological and theoretical developments in stochastic global optimization. It is designed to inspire readers to explore various stochastic methods of global optimization by clearly explaining the main methodological principles and features of the methods. Among the book’s features is a comprehensive study of probabilistic and statistical models underlying the stochastic optimization algorithms.
Book Synopsis Measurement, Judgment, and Decision Making by : Michael H. Birnbaum
Download or read book Measurement, Judgment, and Decision Making written by Michael H. Birnbaum and published by Elsevier. This book was released on 1997-11-27 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: Measurement, Judgment, and Decision Making provides an excellent introduction to measurement, which is one of the most basic issues of the science of psychology and the key to science. Written by leading researchers, the book covers measurement, psychophysical scaling, multidimensional scaling, stimulus categorization, and behavioral decision making. Each chapter provides a useful handbook summary and unlocks the door for a scholar who desires entry to that field. Any psychologist who manipulates an independent variable that affects a psychological construct or who uses a numerical dependent variable to measure a psychological construct will want to study this book. - Written by leading researchers in fields of measurement, psychophysical scaling, multidimensional scaling, stimulus categorization, and behavioral decision making - Provides basic definitions and summaries of theories - Presents summaries and citations to relevant literature - Contains new developments, current controversies, and open questions - Explains relationships among fields and historical links
Book Synopsis Rapid Sensory Profiling Techniques by : Julien Delarue
Download or read book Rapid Sensory Profiling Techniques written by Julien Delarue and published by Woodhead Publishing. This book was released on 2022-12-01 with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rapid Sensory Profiling Techniques: Applications in New Product Development and Consumer Research, Second Edition presents the latest findings and recommendations on the proper choice and use of rapid product profiling methods. Each chapter is written by a key opinion leader on a specific method with discussions on theory, pros, cons and the application of each method that is demonstrated through a case study. This valuable resource educates and empowers those working in research and development on how to meet shorter product turnaround times at lower cost and with no compromise on quality.This book is not just needed by the scientific community, it is an essential must have in an industry challenged by a "speed to market" mantra. - Includes overviews of method principles, pros and cons, and real case studies showing how to set-up, execute, analyze and present findings to stakeholders - Provides readers with a set of tools that are more rapid, more agile, and more cost efficient when compared to more traditional methods - Educates and empowers those working in research and development on how to meet shorter product turnaround times
Book Synopsis Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management by : Kosar, Tevfik
Download or read book Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management written by Kosar, Tevfik and published by IGI Global. This book was released on 2012-01-31 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book focuses on the challenges of distributed systems imposed by the data intensive applications, and on the different state-of-the-art solutions proposed to overcome these challenges"--Provided by publisher.