Some context fuzzy clustering methods for classification problems

Authors:
Bui Cong Cuong;Le Hoang Son;Hoang Thi Minh Chau
Affiliations:
Institute of Mathematics, VAST, Ha Noi, Vietnam;Ha Noi University of Science, VNU, Ha Noi, Viet Nam;University of Economic and Technical Industries, Ha Noi, Viet Nam
Venue:
Proceedings of the 2010 Symposium on Information and Communication Technology
Year:
2010

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Abstract

In this paper, we will propose a two-context fuzzy clustering algorithm (2C-FCM) and its parallel solution so called P2C-FCM for the classification problems. Some initial experiments show the effectiveness of P2C-FCM and 2C-FCM when comparing with traditional Context FCM. The applications of P2C-FCM and 2C-FCM are the basis to generate fuzzy rules for classifying member countries of United Nation Organization (UNO) according to the Human Development Index based on the statistics of UNO in 2005.