一、基于投影梯度法的非负矩阵分解
论文：Projected gradient methods for non-negative matrix factorization
代码：Matlab及Python源码
二、基于类牛顿法的最小二乘矩阵近似解法
论文：Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem
PPT：https://www.niss.org/sites/default/files/Dhillon_workshop.pdf
三、基于alternating nonnegative least squares（ANLS）框架的一种NMF分解方法
论文：Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons
四、 active-set-like算法求解NMF
论文： Fast nonnegative matrix factorization: An active-set-like method and comparisons