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
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;
Conference_Titel :
Computer Science & Education (ICCSE), 2011 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-9717-1
DOI :
10.1109/ICCSE.2011.6028655