Fuzzy classification using self-organizing map and learning vector quantization

IMECH-IR > 力学所知识产出(1956-2008)

	Fuzzy classification using self-organizing map and learning vector quantization
	Chen N; Chen, N (reprint author), Univ Nova Lisboa, Fac Ciencias & Tecnol, P-1200 Lisbon, Portugal.
会议录名称	DATA MINING AND KNOWLEDGE MANAGEMENT
	2004
会议名称	Chinese-Academy-of-Sciences Symposium on Data Minning and Knowledge Management
会议日期	JUL 12-14, 2004
会议地点	Beijing, PEOPLES R CHINA
摘要	Fuzzy classification proposes an approach to solve uncertainty problem in classification tasks. It assigns an instance to more than one class with different degrees instead of a definite class by crisp classification. This paper studies the usage of fuzzy strategy in classification. Two fuzzy algorithms for sequential self-organizing map and learning vector quantization are proposed based on fuzzy projection and learning rules. The derived classifiers are able to provide fuzzy classes when classifying new data. Experiments show the effectiveness of proposed algorithms in terms of classification accuracy.
WOS记录号	WOS:000227493600005
ISBN号	3-540-23987-1
收录类别	CPCI-S
语种	英语
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	http://dspace.imech.ac.cn/handle/311007/58913
专题	力学所知识产出(1956-2008)
通讯作者	Chen, N (reprint author), Univ Nova Lisboa, Fac Ciencias & Tecnol, P-1200 Lisbon, Portugal.
推荐引用方式 GB/T 7714	Chen N,Chen, N . Fuzzy classification using self-organizing map and learning vector quantization[C]DATA MINING AND KNOWLEDGE MANAGEMENT,2004.

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