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| 非负矩阵分解算法综述 | |
| 引用本文： | 李乐,章毓晋. 非负矩阵分解算法综述[J]. 电子学报, 2008, 36(4): 737-743 |
| 作者姓名： | 李乐 章毓晋 |
| 作者单位： | 1. 清华信息科学与技术国家实验室,北京 100084;2. 清华大学电子工程系,北京 100084 |
| 摘 要： | 本文介绍了非负矩阵分解(Non-negative Matrix Factorization,NMF)的基本原理和性质,将现有NMF算法分为了基于基本NMF模型的算法和基于改进NMF模型的算法两大类,在此基础上较为系统地分析、总结和比较了它们的构造原则、应用特点以及存在的问题,最后预测和分析了未来NMF算法研究的可能方向. |
| 关 键 词： | 非负矩阵分解 多元数据描述 特征提取 |
| 文章编号： | 0372-2112(2008)04-0737-07 |
| 修稿时间： | 2007-03-26 |
A Survey on Algorithms of Non-Negative Matrix Factorization |
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| LI Le,ZHANG Yu-jin. A Survey on Algorithms of Non-Negative Matrix Factorization[J]. Acta Electronica Sinica, 2008, 36(4): 737-743 | |
| Authors: | LI Le ZHANG Yu-jin |
| Affiliation: | 1. Tsinghua National Laboratory for Information Science and Technology,Tsinghua University,Beijing 100084,China;2. Department of Electronic Engineering,Tsinghua University,Beijing 100084,China |
| Abstract: | The fundamentals and properties of non-negative matrix factorization(NMF) are introduced,and available NMF algorithms are classified into two categories:basic NMF model-based algorithms and improved NMF model-based algorithms.Based on these,the design principles,application characteristics,and existing problems of the algorithms are systematically discussed.Besides,some open problems in the development of NMF algorithms are presented and analyzed. |
| Keywords: | non-negative matrix factorization multivariate data representation feature extraction |
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