DocumentCode :
2516965
Title :
Study of clustering method by the close distance based on multi-factor
Author :
Bao-zheng, Liu ; Ding-wei, Wang
Author_Institution :
Sch. of Math. Sci., Liaocheng Univ., Liaocheng, China
fYear :
2011
fDate :
23-25 May 2011
Firstpage :
1836
Lastpage :
1839
Abstract :
Thinking of the close distance being minimization, the Investigation objects based on many factors are clustered. With the problem of weather station mergering as a case, we apply and analyse the clustering method. The example shows that the clustering method is feasible and efficient.
Keywords :
pattern clustering; close distance; clustering method; investigation objects; multifactor; weather station merger; Clustering methods; Corporate acquisitions; Educational institutions; Electronic mail; Information science; Mathematics; Meteorology; Multi-factor; close distance; clustering; weather station merger;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
Type :
conf
DOI :
10.1109/CCDC.2011.5968498
Filename :
5968498
Link To Document :
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