矩阵分解（MF）方法及代码

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

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