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