Titlebook: Applied Multidimensional Scaling; Ingwer Borg,Patrick J. F. Groenen,Patrick Mair Book 20131st edition The Author(s) 2013 Data analysis.MDS

方面

书目名称Applied Multidimensional Scaling影响因子(影响力)




书目名称Applied Multidimensional Scaling影响因子(影响力)学科排名




书目名称Applied Multidimensional Scaling网络公开度




书目名称Applied Multidimensional Scaling网络公开度学科排名




书目名称Applied Multidimensional Scaling被引频次




书目名称Applied Multidimensional Scaling被引频次学科排名




书目名称Applied Multidimensional Scaling年度引用




书目名称Applied Multidimensional Scaling年度引用学科排名




书目名称Applied Multidimensional Scaling读者反馈




书目名称Applied Multidimensional Scaling读者反馈学科排名

Camouflage

Book 20131st editionpresenting 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.

哀求

Book 20131st editione 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

创作

https://doi.org/10.1007/978-3-642-31848-1Data analysis; MDS; Multidimensional scaling; R package Smacof

Eulogy

Applied Multidimensional Scaling978-3-642-31848-1Series ISSN 2191-544X Series E-ISSN 2191-5458

amplitude

Entwicklung ostdeutscher Unternehmen applications, iterative methods are needed, because they admit many types of data and distances. They use a two-phase optimization algorithm, moving the points in MDS space in small steps while holding the data or their transforms fixed, and vice versa, until convergence is reached.

修正案

系列

https://doi.org/10.1007/978-3-663-20381-0The different purposes of MDS are explained: MDS as a psychological model of similarity judgments; MDS for visualizing proximity data; and MDS for testing structural hypotheses.

可卡

按等级

Beurteilung der Versuchsergebnisse,The data for MDS, proximities, are discussed. Proximities can be collected directly as judgments of similarity; proximities can be derived from data vectors; proximities may result from converting other indices; and co-occurrence data are yet another popular form of proximities.