Regional clustering of Asia-Pacific countries.

Evaluating all markets in the Asia-Pacific region is mentally and physically exhaustive, thus we propose ‘regional clustering’ to ease information overload and expedite decision-making. The twenty countries in the region are clustered into four groups using Hierarchical Cluster Analysis, based on te...

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Main Authors: Chew, Kit Ying., Tan, Lilian Wei Chuan., Tan, Carolyn Yee Hwa.
Other Authors: Tan, Benjamin Lin Boon
Format: Final Year Project
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/8544
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-8544
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spelling sg-ntu-dr.10356-85442023-05-19T06:09:04Z Regional clustering of Asia-Pacific countries. Chew, Kit Ying. Tan, Lilian Wei Chuan. Tan, Carolyn Yee Hwa. Tan, Benjamin Lin Boon Nanyang Business School DRNTU::Business::Finance Evaluating all markets in the Asia-Pacific region is mentally and physically exhaustive, thus we propose ‘regional clustering’ to ease information overload and expedite decision-making. The twenty countries in the region are clustered into four groups using Hierarchical Cluster Analysis, based on ten posited environmental and resource-based variables. Multiple Discriminant Analysis is further used to identify the significant discriminatory variables between clusters. 2008-09-24T07:22:27Z 2008-09-24T07:22:27Z 2002 2002 Final Year Project (FYP) http://hdl.handle.net/10356/8544 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Business::Finance
spellingShingle DRNTU::Business::Finance
Chew, Kit Ying.
Tan, Lilian Wei Chuan.
Tan, Carolyn Yee Hwa.
Regional clustering of Asia-Pacific countries.
description Evaluating all markets in the Asia-Pacific region is mentally and physically exhaustive, thus we propose ‘regional clustering’ to ease information overload and expedite decision-making. The twenty countries in the region are clustered into four groups using Hierarchical Cluster Analysis, based on ten posited environmental and resource-based variables. Multiple Discriminant Analysis is further used to identify the significant discriminatory variables between clusters.
author2 Tan, Benjamin Lin Boon
author_facet Tan, Benjamin Lin Boon
Chew, Kit Ying.
Tan, Lilian Wei Chuan.
Tan, Carolyn Yee Hwa.
format Final Year Project
author Chew, Kit Ying.
Tan, Lilian Wei Chuan.
Tan, Carolyn Yee Hwa.
author_sort Chew, Kit Ying.
title Regional clustering of Asia-Pacific countries.
title_short Regional clustering of Asia-Pacific countries.
title_full Regional clustering of Asia-Pacific countries.
title_fullStr Regional clustering of Asia-Pacific countries.
title_full_unstemmed Regional clustering of Asia-Pacific countries.
title_sort regional clustering of asia-pacific countries.
publishDate 2008
url http://hdl.handle.net/10356/8544
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