Fuzzy Classification Using Self-Organizing Map and Learning Vector Quantization
文献类型:期刊论文
作者 | Chen N(陈宁)![]() |
刊名 | DATA MINING AND KNOWLEDGE MANAGEMENT
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出版日期 | 2004 |
卷号 | 3327页码:41-50 |
通讯作者邮箱 | ningchen74@yahoo.com |
关键词 | fuzzy classification self-organizing map (SOM) learning vector quantization (LVQ) |
ISSN号 | 0302-9743 |
产权排序 | Univ Nova Lisboa, Fac Ciencias & Tecnol, P-1200 Lisbon, Portugal; Chinese Acad Sci, Inst Mech, Beijing 100864, Peoples R China |
通讯作者 | Chen, N (reprint author), Univ Nova Lisboa, Fac Ciencias & Tecnol, P-1200 Lisbon, Portugal. |
中文摘要 | 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. |
类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Information Systems |
研究领域[WOS] | Computer Science |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000227493600005 |
源URL | [http://dspace.imech.ac.cn/handle/311007/58463] ![]() |
专题 | 力学研究所_力学所知识产出(1956-2008) |
推荐引用方式 GB/T 7714 | 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.(2004).Fuzzy Classification Using Self-Organizing Map and Learning Vector Quantization.DATA MINING AND KNOWLEDGE MANAGEMENT,3327,41-50. |
MLA | 陈宁."Fuzzy Classification Using Self-Organizing Map and Learning Vector Quantization".DATA MINING AND KNOWLEDGE MANAGEMENT 3327(2004):41-50. |
入库方式: OAI收割
来源:力学研究所
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