“非负矩阵分解”的概念、定义、翻译、参考文献-科学参考

单词	非负矩阵分解
释义	非负矩阵分解 Encyclopedia 理学线性特征提取释 non-negative matrix factorization; NMF非负矩阵分解非负矩阵分解(non-negative matrix factorization, NMF)是一种常用的矩阵分解算法，基于输入的矩阵，非负矩阵分解算法可将其分解为两个矩阵和都是非负的，即：该方法最早由D.D.Lee和H.S.Seung在1999年于科学杂志《Nature》上提出，它使分解后的所有分量均为非负值，并且达到维数约减。非负矩阵分解现在是计算机视觉、数字信号处理、生物信息工程和机器学习等研究领域中应用最多的高维数据处理方法之一。
随便看	China smart city summit China's master degree education program of project management China's Measures for the Supervision and Administration of World Cultural Heritage China's mining right transfer system China's National Climate Change Programme China Social Science Excellence China Social Sciences Publishing House China Social Work Research China Society for book Review China Society for Defense Science and Technology Information China Society for Hydropower Engineering China Society for Industrial and Applied Mathematics China Society for Scientific and Technical Information China Society for the Study of the Book of Songs China Society in Transition China Society of Engineering Blasting China Society of Ethnic Minority Opera China Society of Fisheries China Society of Indexers China Society of International Economic Law China Society of Literature of the Liao and Jurchen Jin Dynasties China Society of Literature of the Song Dynasty China Society of Literature of the Tang Dynasty China Society of Plant Protection China Society of Private International Law

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