Title :
Improved entropy weighted cluster analysis and its application
Author_Institution :
Math. & Comput. Sci. Dept., Chang Zhou Textile Garment Inst., Changzhou, China
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;
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
DOI :
10.1109/GSIS.2009.5408216
