Please use this identifier to cite or link to this item: http://repository.vnu.edu.vn/handle/VNU_123/27117
Title: Some context fuzzy clustering methods for classification problems
Authors: Chau, Hoang Thi Minh
Son, Le Hoang
Cuong, Bui Cong
Keywords: classification;parallel fuzzy clustering;fuzzy rules
Issue Date: 2010
Publisher: H. : ĐHQGHN
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. © 2010 ACM
Description: ACM International Conference Proceeding Series 2010, Pages 34-40
URI: http://repository.vnu.edu.vn/handle/VNU_123/27117
ISBN: 978-145030105-3
Appears in Collections:Bài báo của ĐHQGHN trong Scopus

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