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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