DocumentCode
3408923
Title
Improved entropy weighted cluster analysis and its application
Author
A-ping, Sun
Author_Institution
Math. & Comput. Sci. Dept., Chang Zhou Textile Garment Inst., Changzhou, China
fYear
2009
fDate
10-12 Nov. 2009
Firstpage
723
Lastpage
727
Abstract
When using the entropy to weighted cluster for the selected indexes have a strong relationship, it will result in the duplication of information indicators, affecting the result of clustering. However, entropy method can not eliminate or reduce the duplication of the information. To solve this problem, this article used grey correlation cluster to reduce the dimension of the index system and the correlation between indexes. Then the paper used this new method to analysis the level of economics development of 13 cities of Jiangsu province. It will simplify the system of indexes and get better effects.
Keywords
economics; entropy; grey systems; pattern clustering; Jiangsu province; economics development; entropy weighted cluster analysis; grey correlation cluster; index system; Cities and towns; Data analysis; Euclidean distance; Graphical user interfaces; Information analysis; Information entropy; Information theory; Intelligent systems; Sun; Thermodynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4914-9
Electronic_ISBN
978-1-4244-4916-3
Type
conf
DOI
10.1109/GSIS.2009.5408216
Filename
5408216
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