Using data mining techniques to cluster Singapore companies.

The study uses Kohonen Self-Organizing Map, k-means clustering and two-step clustering to cluster companies in Singapore based on the companies' financial results.

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Bibliographic Details
Main Author: Chng, Loi Siang.
Other Authors: Khoo, Christopher Soo Guan
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/1783
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-1783
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spelling sg-ntu-dr.10356-17832019-12-10T14:07:23Z Using data mining techniques to cluster Singapore companies. Chng, Loi Siang. Khoo, Christopher Soo Guan Wee Kim Wee School of Communication and Information DRNTU::Library and information science::General DRNTU::Library and information science::Libraries::Automation The study uses Kohonen Self-Organizing Map, k-means clustering and two-step clustering to cluster companies in Singapore based on the companies' financial results. Master of Science (Information Studies) 2008-09-10T08:36:13Z 2008-09-10T08:36:13Z 2003 2003 Thesis http://hdl.handle.net/10356/1783 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
topic DRNTU::Library and information science::General
DRNTU::Library and information science::Libraries::Automation
spellingShingle DRNTU::Library and information science::General
DRNTU::Library and information science::Libraries::Automation
Chng, Loi Siang.
Using data mining techniques to cluster Singapore companies.
description The study uses Kohonen Self-Organizing Map, k-means clustering and two-step clustering to cluster companies in Singapore based on the companies' financial results.
author2 Khoo, Christopher Soo Guan
author_facet Khoo, Christopher Soo Guan
Chng, Loi Siang.
format Theses and Dissertations
author Chng, Loi Siang.
author_sort Chng, Loi Siang.
title Using data mining techniques to cluster Singapore companies.
title_short Using data mining techniques to cluster Singapore companies.
title_full Using data mining techniques to cluster Singapore companies.
title_fullStr Using data mining techniques to cluster Singapore companies.
title_full_unstemmed Using data mining techniques to cluster Singapore companies.
title_sort using data mining techniques to cluster singapore companies.
publishDate 2008
url http://hdl.handle.net/10356/1783
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