搜索资源列表
xyj
- 一个很简单的非负矩阵分解算法 可用于特征降维等 采用了最基础的判断准则 非常容易理解 只适用于初学者理解 算法步骤-A very simple non-negative matrix factorization algorithm can be used for feature dimensionality reduction, etc. using the most basic criterion applies only to a very easy to understand for be
nmf
- 非负矩阵分解（NMF）的一种实现算法，非常好用的方法-Non-negative matrix factorization (NMF) is an implementation of the algorithm, a very handy way
NeNMF
- 非负矩阵分解的一种新方法——Nesterov法，这种方法提出不久，实现的结果很不错-NMF is a new method--Nesterov method, this method is presented shortly to achieve very good results
NMFLAB
- 非负矩阵分解在矩阵计算中具有重要意义，这是NMF非负矩阵分解实验室完整代码。-non-negtive resolution
NMFPSVM
- 本程序用于基因数据的分类，我自己写了一个基于欧氏距离的费舍尔判据，选取有代表性的基因，最后用NMF将矩阵分解，对得到的矩阵进行分类，分类用的是自带的svm算法-It is used for classfication, I wrote a fisher criterion based on Euclidean distance, selecting representative genes,after NMF,classification with the SVM algorithm is sh
sangarticle
- Matlab实现的一种基于矩阵分解的信息隐藏代码-This code realize the function of embedding the secret information based on the matrix decomposition
Task
- C++ 矩阵分解运算！LU 高斯分解 ，QR 分解-C++ matrix decomposition operation! Gauss LU decomposition, QR decomposition
matrix-codes
- 这是一下关于矩阵分解的程序，用matlab程序关于矩阵的qr分解-This is a program on matrix decomposition, using matlab realize matrix decomposition chol
LU_factorization
- 矩阵的LU分解，实现一个矩阵分解为一个上三角阵与一个下三角阵的乘积-LU decomposition of the matrix, the realization of a matrix into an upper triangular matrix with a lower triangular matrix multiplication
NMF
- 非负矩阵分解，可以用于语音分离等，参考文献：N. Mohammadiha, P. Smaragdis and A. Leijon, “Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization,” IEEE Trans. Audio, Speech, and Language Process., vol. 21, no. 10, pp. 2140–2151, oct. 2013
sorted
- 它通过对矩阵分解，相当于对矩阵做了正交化处理，方法我们进行信号检测信道估计等。-It can matrix factorization, the matrix made equivalent to orthogonalization processing, signal detection method we channel estimation.
SPAMS2014
- 在线学习矩阵分解和稀疏编码,稀疏编码是永远的经典，需要学习稀疏编码的同志可以下载-Online learning and sparse coding matrix decomposition, a sparse coding is eternal classic, and need to learn the comrade of sparse coding can download and see
svdRec
- 机器学习算法，利用SVD简化数据，SVD矩阵分解，推荐引擎，提高性能-Machine learning algorithm, using SVD simplify data, SVD matrix decomposition, recommendation engine, improved performance
LowRankMatric
- 本文档主要介绍低秩矩阵分解的理论与应用，原作者为马毅等人。-this file mainly introduce low-rank decompostion theroy and its application ,which was created by Ma Yi etc,.
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
DAKM
- 本代码是matlab编写的用来实现矩阵分解的典型方法，来自于2014年cvpr的文章代码。-Matrix decomposition in cvpr 2014 about DAKM algorithm using matlab. The DAKM s algorithm is powerful for Matrix decomposition . Matrix decomposition in cvpr 2014 about DAKM algorithm using matlab. The
CNMF
- 通过耦合非负矩阵分解，实现高光谱和多光谱图像分类-Coupled Nonnegative Matrix Factorization for HSI and MSI Fusion
decomposition_for_Matrix
- 本次程序是一个综合程序，功能是实现矩阵分解，包含有四种算法：LU分解、QR分解、Householder Reduction、Givens Reduction-The program is a comprehensive program, whose function is performming factorization for matrix, including four algorithms: LU decomposition, QR decomposition, Householder
Unconstrained-optimization-method
- 本资源主要对矩阵分解中的LU分解、LDL’分解、乔列斯基分解，以及无约束最优化领域中的最速下降法、牛顿法、拟牛顿法的原理、步骤和算法进行了简要介绍，并对各种方法进行了Matlab编程实验，得到了较好的结果。 本资源包含了《矩阵分解及无约束最优化方法的原理和应用简介》文档以及其中用到的全部Matlab程序，非常适合初学者学习与研究。-The resources are mainly in the matrix decomposition LU decomposition, LDL decompo
nmf
- 非负矩阵分解，将一个非负矩阵分解成两个非负矩阵的乘积-non-negative matrix factorization