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(陈宁); Chen, N (reprint author), Univ Nova Lisboa, Fac Ciencias & Tecnol, P-1200 Lisbon, Portugal.
发表期刊	DATA MINING AND KNOWLEDGE MANAGEMENT
	2004
卷号	3327 页码:41-50
ISSN	0302-9743
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.
关键词	Fuzzy Classification Self-organizing Map (Som) Learning Vector Quantization (Lvq)
收录类别	SCI
语种	英语
WOS记录号	WOS:000227493600005
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Information Systems
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://dspace.imech.ac.cn/handle/311007/58463
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[J]. DATA MINING AND KNOWLEDGE MANAGEMENT,2004,3327:41-50.
APA	陈宁,&Chen, N .(2004).Fuzzy Classification Using Self-Organizing Map and Learning Vector Quantization.DATA MINING AND KNOWLEDGE MANAGEMENT,3327,41-50.
MLA	陈宁,et al."Fuzzy Classification Using Self-Organizing Map and Learning Vector Quantization".DATA MINING AND KNOWLEDGE MANAGEMENT 3327(2004):41-50.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
JourArSuppl2016-178.（142KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载