矩阵分解（MF）方法及代码

怼烎@ 2022-06-08 09:27 235阅读 0赞

## 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][Matlab_Python]

## 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][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][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][Fast nonnegative matrix factorization_ An active-set-like method and comparisons]

[原文地址][Link 1]

[Projected gradient methods for non-negative matrix factorization]: http://www.csie.ntu.edu.tw/~cjlin/nmf/
[Matlab_Python]: http://blog.csdn.net/qq_23968185/article/details/Projected%20gradient%20methods%20for%20non-negative%20matrix%20factorization
[Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem]: http://www.cs.utexas.edu/~inderjit/public_papers/ls_nnma_siam07.pdf
[https_www.niss.org_sites_default_files_Dhillon_workshop.pdf]: https://www.niss.org/sites/default/files/Dhillon_workshop.pdf
[Toward Faster Nonnegative Matrix Factorization_ A New Algorithm and Comparisons]: https://www.researchgate.net/publication/224384172_Toward_Faster_Nonnegative_Matrix_Factorization_A_New_Algorithm_and_Comparisons
[Fast nonnegative matrix factorization_ An active-set-like method and comparisons]: http://statweb.stanford.edu/~dlsun/papers/nmf_admm.pdf
[Link 1]: http://blog.csdn.net/qq_23968185/article/details/70477613