Research on the Income of Rural Residents of Sichuan Province Based on Fuzzy C-mean Clustering

The paper introduces the basic concepts of fuzzy set and the basic theories of fuzzy C-mean clustering method and its corresponding algorithm. The algorithm is applied to the classification of the income of rural residents of Sichuan province. According to the computation results obtained by using f...

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Bibliographic Details
Published in2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery Vol. 3; pp. 151 - 155
Main Author Chen Yu-mei
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2009
Subjects
Cities and towns
Clustering algorithms
Clustering methods
Computer languages
Educational institutions
fuzzy C-mean clustering
Fuzzy sets
Fuzzy systems
income
Mathematics
Rivers
rural residents
Set theory
Sichuan Province
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Summary:The paper introduces the basic concepts of fuzzy set and the basic theories of fuzzy C-mean clustering method and its corresponding algorithm. The algorithm is applied to the classification of the income of rural residents of Sichuan province. According to the computation results obtained by using fuzzy C-mean clustering function (fcm) in Matlab 7.0, all of the 21 administrative divisions of Sichuan province are divided into four clusters. The reasons of the differences and some advices to solving the differences are proposed.
ISBN:9780769537351
0769537359
DOI:10.1109/FSKD.2009.235