Excavating clusters of star coordinate visualization through dimension manipulation / Izyan Izzati Kamsani

Recent advancement in high-performance technologies has resulted in collections of high dimensional data. High dimensional data consist of large number of data records and attributes. It is challenging when it comes to extracting high dimensional data into meaningful information. Cluster analysis is...

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主要作者: Kamsani, Izyan Izzati
格式: Thesis
語言:English
出版: 2019
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在線閱讀:https://ir.uitm.edu.my/id/eprint/82914/1/82914.pdf
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spelling my-uitm-ir.829142024-03-04T02:19:47Z Excavating clusters of star coordinate visualization through dimension manipulation / Izyan Izzati Kamsani 2019 Kamsani, Izyan Izzati Electronic data processing. Maple (Computer file) Geometrical models Recent advancement in high-performance technologies has resulted in collections of high dimensional data. High dimensional data consist of large number of data records and attributes. It is challenging when it comes to extracting high dimensional data into meaningful information. Cluster analysis is used as a method to provide useful summary so that it can be understood more straightforwardly. The summary obtained, however is difficult to interpret from raw data. In order to understand the clusters results, it is visualized in a low dimensional plane. There are many available visualization techniques that can handle high dimensional data. One of it is geometric projection technique. Examples of geometric projection techniques are; Scatterplot (SP), Parallel Coordinate (PC) and Star Coordinate (SC) visualization techniques. However, for this study, only SC visualization technique was explored in further details. SC can display high dimensional data into a limited space. SC performs by plotting data dimensions in a circular arrangement. 2019 Thesis https://ir.uitm.edu.my/id/eprint/82914/ https://ir.uitm.edu.my/id/eprint/82914/1/82914.pdf text en public phd doctoral Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Abdul Khalid, Noor Elaiza
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Abdul Khalid, Noor Elaiza
topic Electronic data processing
Maple (Computer file)
Geometrical models
spellingShingle Electronic data processing
Maple (Computer file)
Geometrical models
Kamsani, Izyan Izzati
Excavating clusters of star coordinate visualization through dimension manipulation / Izyan Izzati Kamsani
description Recent advancement in high-performance technologies has resulted in collections of high dimensional data. High dimensional data consist of large number of data records and attributes. It is challenging when it comes to extracting high dimensional data into meaningful information. Cluster analysis is used as a method to provide useful summary so that it can be understood more straightforwardly. The summary obtained, however is difficult to interpret from raw data. In order to understand the clusters results, it is visualized in a low dimensional plane. There are many available visualization techniques that can handle high dimensional data. One of it is geometric projection technique. Examples of geometric projection techniques are; Scatterplot (SP), Parallel Coordinate (PC) and Star Coordinate (SC) visualization techniques. However, for this study, only SC visualization technique was explored in further details. SC can display high dimensional data into a limited space. SC performs by plotting data dimensions in a circular arrangement.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Kamsani, Izyan Izzati
author_facet Kamsani, Izyan Izzati
author_sort Kamsani, Izyan Izzati
title Excavating clusters of star coordinate visualization through dimension manipulation / Izyan Izzati Kamsani
title_short Excavating clusters of star coordinate visualization through dimension manipulation / Izyan Izzati Kamsani
title_full Excavating clusters of star coordinate visualization through dimension manipulation / Izyan Izzati Kamsani
title_fullStr Excavating clusters of star coordinate visualization through dimension manipulation / Izyan Izzati Kamsani
title_full_unstemmed Excavating clusters of star coordinate visualization through dimension manipulation / Izyan Izzati Kamsani
title_sort excavating clusters of star coordinate visualization through dimension manipulation / izyan izzati kamsani
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2019
url https://ir.uitm.edu.my/id/eprint/82914/1/82914.pdf
_version_ 1794191954283593728