Knowledge Management System of Institue of Mechanics, CAS
Fuzzy classification using self-organizing map and learning vector quantization | |
Chen N![]() | |
Source Publication | DATA MINING AND KNOWLEDGE MANAGEMENT |
2004 | |
Conference Name | Chinese-Academy-of-Sciences Symposium on Data Minning and Knowledge Management |
Conference Date | JUL 12-14, 2004 |
Conference Place | Beijing, PEOPLES R CHINA |
Abstract | 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 ID | WOS:000227493600005 |
ISBN | 3-540-23987-1 |
Indexed By | CPCI-S |
Language | 英语 |
Citation statistics | |
Document Type | 会议论文 |
Identifier | http://dspace.imech.ac.cn/handle/311007/58913 |
Collection | 力学所知识产出(1956-2008) |
Corresponding Author | Chen, N (reprint author), Univ Nova Lisboa, Fac Ciencias & Tecnol, P-1200 Lisbon, Portugal. |
Recommended Citation GB/T 7714 | Chen N,Chen, N . Fuzzy classification using self-organizing map and learning vector quantization[C]DATA MINING AND KNOWLEDGE MANAGEMENT,2004. |
Files in This Item: | Download All | |||||
File Name/Size | DocType | Version | Access | License | ||
CPCI-B010.pdf(142KB) | 会议论文 | 开放获取 | CC BY-NC-SA | View Download |
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