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Fuzzy Classification Using Self-Organizing Map and Learning Vector Quantization | |
Chen N(陈宁)![]() | |
Source Publication | DATA MINING AND KNOWLEDGE MANAGEMENT
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2004 | |
Volume | 3327Pages:41-50 |
ISSN | 0302-9743 |
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. |
Keyword | Fuzzy Classification Self-organizing Map (Som) Learning Vector Quantization (Lvq) |
Indexed By | SCI |
Language | 英语 |
WOS ID | WOS:000227493600005 |
WOS Research Area | Computer Science |
WOS Subject | Computer Science, Artificial Intelligence ; Computer Science, Information Systems |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://dspace.imech.ac.cn/handle/311007/58463 |
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[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. |
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JourArSuppl2016-178.(142KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Download |
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