DocumentCode :
3432539
Title :
Application research of fuzzy clustering approach in new rural cooperative medical insurance system module
Author :
Tang Zhong ; Yang Gefeng ; Ou Xu ; Liang Zhisheng
Author_Institution :
Inf. Center, Guangxi Med. Univ., Nanning, China
fYear :
2011
fDate :
3-5 Aug. 2011
Firstpage :
361
Lastpage :
364
Abstract :
Based on the analysis the advantages and disadvantages of hierarchical clustering and fuzzy clustering methods, make sample points within each subspace as similar as possible, differences between sample points within different sub-space as large as possible, The essence is to find different data models which hidden in different data. It is an unsupervised learning process that enables the blind classification in the sample spaces. Currently clustering data mining research is a very active field.t.
Keywords :
cooperative systems; data mining; data models; fuzzy set theory; insurance data processing; medical information systems; pattern classification; pattern clustering; unsupervised learning; blind classification; data mining; data models; fuzzy clustering approach; medical insurance system; rural cooperative system; unsupervised learning process; Algorithm design and analysis; Biomedical imaging; Business; Clustering algorithms; Clustering methods; Insurance; Shape; fuzzy clustering; medical insurance; module; new rural cooperative;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education (ICCSE), 2011 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-9717-1
Type :
conf
DOI :
10.1109/ICCSE.2011.6028655
Filename :
6028655
Link To Document :
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