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An investigation of Multidimensional Scaling with an emphasis on the development of an R based Graphical User Interface for performing Multidimensional Scaling procedures

This dissertation is centered around the development of a graphical user interface, using the R statistical programing language, for performing Multidimensional Scaling. This program is called the MDS-GUI. Multidimensional Scaling (MDS) is one of the groups of multivariate analysis techniques that i...

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Main Author: Timm, Andrew
Other Authors: Lubbe, Sugnet
Format: Thesis
Language:English
Published: Department of Statistical Sciences 2014
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access_status_str Open Access
author Timm, Andrew
author2 Lubbe, Sugnet
author_browse Lubbe, Sugnet
Timm, Andrew
author_facet Lubbe, Sugnet
Timm, Andrew
author_sort Timm, Andrew
collection Thesis
description This dissertation is centered around the development of a graphical user interface, using the R statistical programing language, for performing Multidimensional Scaling. This program is called the MDS-GUI. Multidimensional Scaling (MDS) is one of the groups of multivariate analysis techniques that is used for dimension reduction. In general, these methods of MDS can be viewed as the problem of constructing a map when given a set of interpoint distances. The graphical configuration is produced, usually in two or three dimensions, in such a way that objects of the data are represented by points, where the Euclidean distances between them optimally represents the given set of observed distances. The MDS-GUI was developed using a combination of R and the scripting language tcltk. The primary objective of its design was to provide a comprehensive range of MDS methods and analytical tools that are accessed in a point and click manner. The target user group of the software is therefore widely spread as no coding and only a little expertise on MDS is required for its use. The capabilities of the MDS-GUI are demonstrated with the use of three data sets. The first is the well known and well used Morse-Code data; the second is a synthetic microarray based data set; and the third concerns the nutritional contents of a group of the cereals from the Kellog's company. The program will be the first complete MDS based GUI for the R-Environment, and will also be the package that provides access to the widest range of MDS methods in R.
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institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:32:58.612Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Statistical Sciences
publisherStr Department of Statistical Sciences
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/6880 An investigation of Multidimensional Scaling with an emphasis on the development of an R based Graphical User Interface for performing Multidimensional Scaling procedures Timm, Andrew Lubbe, Sugnet This dissertation is centered around the development of a graphical user interface, using the R statistical programing language, for performing Multidimensional Scaling. This program is called the MDS-GUI. Multidimensional Scaling (MDS) is one of the groups of multivariate analysis techniques that is used for dimension reduction. In general, these methods of MDS can be viewed as the problem of constructing a map when given a set of interpoint distances. The graphical configuration is produced, usually in two or three dimensions, in such a way that objects of the data are represented by points, where the Euclidean distances between them optimally represents the given set of observed distances. The MDS-GUI was developed using a combination of R and the scripting language tcltk. The primary objective of its design was to provide a comprehensive range of MDS methods and analytical tools that are accessed in a point and click manner. The target user group of the software is therefore widely spread as no coding and only a little expertise on MDS is required for its use. The capabilities of the MDS-GUI are demonstrated with the use of three data sets. The first is the well known and well used Morse-Code data; the second is a synthetic microarray based data set; and the third concerns the nutritional contents of a group of the cereals from the Kellog's company. The program will be the first complete MDS based GUI for the R-Environment, and will also be the package that provides access to the widest range of MDS methods in R. 2014-09-02T17:09:15Z 2014-09-02T17:09:15Z 2012 Master Thesis Masters MSc http://hdl.handle.net/11427/6880 eng application/pdf Department of Statistical Sciences Faculty of Science University of Cape Town
spellingShingle Timm, Andrew
An investigation of Multidimensional Scaling with an emphasis on the development of an R based Graphical User Interface for performing Multidimensional Scaling procedures
thesis_degree_str Master's
title An investigation of Multidimensional Scaling with an emphasis on the development of an R based Graphical User Interface for performing Multidimensional Scaling procedures
title_full An investigation of Multidimensional Scaling with an emphasis on the development of an R based Graphical User Interface for performing Multidimensional Scaling procedures
title_fullStr An investigation of Multidimensional Scaling with an emphasis on the development of an R based Graphical User Interface for performing Multidimensional Scaling procedures
title_full_unstemmed An investigation of Multidimensional Scaling with an emphasis on the development of an R based Graphical User Interface for performing Multidimensional Scaling procedures
title_short An investigation of Multidimensional Scaling with an emphasis on the development of an R based Graphical User Interface for performing Multidimensional Scaling procedures
title_sort investigation of multidimensional scaling with an emphasis on the development of an r based graphical user interface for performing multidimensional scaling procedures
url http://hdl.handle.net/11427/6880
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