Flexible attribute classification for MDS points / Raihana Kamsiran

Multidimensional Scaling (MDS) is usually presents similarity of a survey in multidimensional data. In order to simplify the multidimensional data, 2D representation has been used. But MDS representation is limited to a single shape and without any colors. The MDS output with a lot of cases and attr...

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Main Author:	Kamsiran, Raihana
Format:	Thesis
Language:	English
Published:	2010
Online Access:	https://ir.uitm.edu.my/id/eprint/63701/1/63701.pdf
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id	my-uitm-ir.63701
record_format	uketd_dc
spelling	my-uitm-ir.637012024-03-25T08:06:32Z Flexible attribute classification for MDS points / Raihana Kamsiran 2010 Kamsiran, Raihana Multidimensional Scaling (MDS) is usually presents similarity of a survey in multidimensional data. In order to simplify the multidimensional data, 2D representation has been used. But MDS representation is limited to a single shape and without any colors. The MDS output with a lot of cases and attributes lead to difficult interpretation since most of the points look alike. The objective of this project are to group any classes of information for MDS output and to develop a prototype for classifying any classes of information using different colors (easier analysis purpose). This project enables users to analyze MDS output based on classes (e.g. class: "gender", attribute: "male", "female"). These classes will be presented with different colors for better visualization to analyze a survey result. In order to group the classes, an algorithm for finding shortest distance involving multiple points is applied. As a case study, visualization on MDS output for multiple response on color preferences is implemented. This prototype allows flexibilities on grouping survey attributes into classes on the MDS output. It helps users to analyze the output in a better way by using a variety of colors. According to the usability testing that has been done, 95 percent respondent agree with the prototype's flexibility and 90 percent prefer the MDS points with color applied on graph. 2010 Thesis https://ir.uitm.edu.my/id/eprint/63701/ https://ir.uitm.edu.my/id/eprint/63701/1/63701.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Zainal Abidin, Siti Zaleha
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Zainal Abidin, Siti Zaleha
description	Multidimensional Scaling (MDS) is usually presents similarity of a survey in multidimensional data. In order to simplify the multidimensional data, 2D representation has been used. But MDS representation is limited to a single shape and without any colors. The MDS output with a lot of cases and attributes lead to difficult interpretation since most of the points look alike. The objective of this project are to group any classes of information for MDS output and to develop a prototype for classifying any classes of information using different colors (easier analysis purpose). This project enables users to analyze MDS output based on classes (e.g. class: "gender", attribute: "male", "female"). These classes will be presented with different colors for better visualization to analyze a survey result. In order to group the classes, an algorithm for finding shortest distance involving multiple points is applied. As a case study, visualization on MDS output for multiple response on color preferences is implemented. This prototype allows flexibilities on grouping survey attributes into classes on the MDS output. It helps users to analyze the output in a better way by using a variety of colors. According to the usability testing that has been done, 95 percent respondent agree with the prototype's flexibility and 90 percent prefer the MDS points with color applied on graph.
format	Thesis
qualification_level	Bachelor degree
author	Kamsiran, Raihana
spellingShingle	Kamsiran, Raihana Flexible attribute classification for MDS points / Raihana Kamsiran
author_facet	Kamsiran, Raihana
author_sort	Kamsiran, Raihana
title	Flexible attribute classification for MDS points / Raihana Kamsiran
title_short	Flexible attribute classification for MDS points / Raihana Kamsiran
title_full	Flexible attribute classification for MDS points / Raihana Kamsiran
title_fullStr	Flexible attribute classification for MDS points / Raihana Kamsiran
title_full_unstemmed	Flexible attribute classification for MDS points / Raihana Kamsiran
title_sort	flexible attribute classification for mds points / raihana kamsiran
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2010
url	https://ir.uitm.edu.my/id/eprint/63701/1/63701.pdf
_version_	1804889657869074432

Flexible attribute classification for MDS points / Raihana Kamsiran

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