搜索资源列表
nmfpack
- 非负矩阵分解源代码,有经典NMF，LNMF,NMFsc,developped by patrik hoyer-Nonnegative matrix factorization LNMF,NMFsc,developped by patrik hoyer
ants_arithgom
- aoc.m 是用matlab实现蚁群算法ants_information.m蚁群算法中信息素的构建 mcl是马尔科夫聚类算法 nmf是矩阵的非负分解 Generative Topographic Mapping工具包-aoc.m is matlab implementation of ant colony algorithm ants_information.m pheromone ant colony algorithm is a Markov clustering algorit
nmfmatlab7
- 非负矩阵分解应用于脸部图像识别的MATLAB程序-function [W H] = nmf(V,r,maxiter)
NMFnetwork
- 用非负矩阵分解做网络社区检测的代码，张世华编写的，可以运行正确结果的-community detection，NMF
NMF
- nmf 与 lnmf, 非负矩阵分解基本程序-nmf and lnmf， the basic function
nmfdb
- 本程序为非负矩阵分解，matlab程序。输入为要分解的矩阵和端元数，输出为分解的结果-this program is suitable for NMF .the input data is the matrix to be decomposed and the number of endmember.output is the result
nfm
- 简单的非负矩阵分解算法，实现图片的重构，迭代次数越大，越接近原图-Simple non-negative matrix factorization algorithm, the reconstruction of the picture, the greater the number of iterations, the closer to the original image
orldata-and-ONMF
- 正交非负矩阵分解，适合做非负矩阵分解的用，能得到更稀疏和更正交的基特征-Orthogonal nonnegative matrix factorization，Suitable for use NMF, can be more sparse and correct post basis vectors
nmfpack
- 非负矩阵，可用于对高维矩阵的分解，且分解出来的矩阵有非负的特性。-Non-negative matrix, can be used for high-dimensional matrix decomposition, and the decomposition of the matrix has a non-negative characteristic.
LWSG_NMF
- 该程序是LWSG_NMF方法（局部加权稀疏图正则非负矩阵分解）的matlab实现，可根据所需参数，进行设置-The program is LWSG_NMF method (locally weighted sparse graph regular NMF) matlab implementation, according to the required parameters, set
Lin_nmf
- 非负矩阵分解的matlab代码及相关文章，个人感觉很有用，可以参考一下-matlab code and paper of nmf
nmf-jianhua
- 非负矩阵分解，测试cbcl,orl,swimmer数据集程序，画图程序-NMF, test cbcl, orl, swimmer data collection program, drawing program
NMF算法
- 主要实现非负矩阵的有效分解，其中有详细的解释，以及什么样的矩阵才能适合该算法(realize the matrix factorization with non-negative matrix)
NMF
- 在标准的非负矩阵分解目标函数中加入坐标排序正则化算子，以模型为基准构造非负矩阵分解(Adding coordinate ordering regularization operator in standard nonnegative matrix decomposition objective function)
非负矩阵分解
- 实现高光谱图像的非负矩阵分解，可以在此基础上添加优化算法，实现更高精度和速度。(To achieve hyperspectral image's non negative matrix factorization, we can add optimization algorithm to achieve higher accuracy and speed.)
新建文件夹
- 非负矩阵分解的matlab代码，适合新手利用matlab学习非负矩阵分解(Matlab code for nonnegative matrix decomposition)
nmf代码
- 实现多种非负矩阵分解方法，包括交替最小二乘以及改进的交替非负最小二乘法(Implementation of a variety of non negative matrix decomposition methods)
GNMF
- 图正则化的非负矩阵分解 matlab 代码(Graph regularization of nonnegative matrix factorization. matlab code.)