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

Author

Chen Yu-mei

Author_Institution

Coll. of Math. & Inf., China West Normal Univ., Nanchong, China

Volume

3

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

151

Lastpage

155

Abstract

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.

Keywords

financial data processing; fuzzy set theory; mathematics computing; pattern classification; pattern clustering; Matlab 7.0; Sichuan province; fuzzy C-mean clustering; fuzzy set; rural resident income classification; Cities and towns; Clustering algorithms; Clustering methods; Computer languages; Educational institutions; Fuzzy sets; Fuzzy systems; Mathematics; Rivers; Set theory; Sichuan Province; fuzzy C-mean clustering; income; rural residents;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on

Conference_Location

Tianjin

Print_ISBN

978-0-7695-3735-1

Type

conf

DOI

10.1109/FSKD.2009.235

Filename

5358925