搜索资源列表
非负矩阵资源
- 非负矩阵分解代码
非负矩阵分解
- LNMF、NMF分解
NMFLABSP_ver1.2.zip
- 盲源分离算法中,另一新的理论,非负矩阵分解(NMF)。数据包中有代码及GUI,Blind source separation algorithm, another new theory, non-negative matrix factorization (NMF). Packet has the code and GUI
pauli cov
- 极化SAR图像中的将协方差矩阵数据进行PAULI分解的程序-Polarization SAR images will covariance matrix data Pauli decomposition process
UCA_SMI
- QR分解SMI算法的目的正是要避免直接来解线性方程,而是将自相关矩阵分解,并利用Givens旋转实现数据矩阵的QR分解,最终将权矢量的求解问题转化为三角线性方程组的求解问题。-QR decomposition SMI algorithm, whose objective it is to avoid directly to solution of linear equations, but will auto-correlation matrix decomposition, and the u
CLAPACK3-Windows
- LAPACK是用Fortran90和规定套路解决系统同步线性方程组,最小二乘解线性方程组,特征值问题,以及奇异值问题。相关的矩阵分解(陆,乔莱斯基,快速反应,分解,舒尔,广义Schur )也提供了,因为有关的计算,如重新安排的舒尔分解和估计条件号码。致密带状矩阵的处理,而不是一般稀疏矩阵。在所有领域,类似的功能是提供真正的和复杂的矩阵,在单,双精度-LAPACK is written in Fortran90 and provides routines for solving systems o
chap_3
- 矩阵运算,适合初学者学习。包括矩阵函数矩阵分解特征值分析等-Matrix operations, suitable for beginners to learn. Including the matrix function matrix eigenvalue decomposition analysis, etc.
nmf
- 非负矩阵分解法,这一种新型的子空间分解方法,增加了非负性约束,比PCA、ICA更有效-Non-negative matrix factorization method, which a new type of sub-space decomposition method, an increase of non-negative constraint, compared with PCA, ICA is more efficient
Matrix_written_In_CSharp
- 自己使用的一个C#编写的,矩阵类,使用这个类可以方便的实现矩阵的运算,行列式求值、矩阵求逆、矩阵分解等功能。-A C# Class can be used as a tool to perform Martrix arithmetic. This Class can be easily added into your own application.
Decomposition_QR
- QR分解法是三种将矩阵分解的方式之一。这种方式,把矩阵分解成一个正交矩阵与一个上三角矩阵的积。QR 分解经常用来解线性最小二乘法问题。QR 分解也是特定特征值算法即QR算法的基础。-QR decomposition are the three ways of decomposition of the matrix. In this way, the matrix decomposition into an orthogonal matrix and an upper triangular mat
LU_DecomME1
- MATLAB 数值分析,矩阵分解实例,LU分解-MATLAB numerical analysis, matrix factorization example, LU decomposition
LU分解-matlab
- matlab 输入矩阵 实现矩阵LU分解
cholesky
- cholesky分解是用于将一个对称正定的矩阵分解为一个上三角与一个下三角矩阵乘积的形式,可运用于回归系数求解,线性方程组求解中 逐步回归是在回归分析的建模过程中用于变量筛选的有效方法,这里同时进行了向前和向后回归,效果更加显著(Cholesky decomposition is used to decompose a symmetric positive definite matrix into an upper triangle and a lower triangular matrix
57578866Matrix_LU_INV
- 这是一个使用lu来求逆矩阵的算法那,算法很好,很不错啊(this is a lu algorithm)
C++实现矩阵的所有运算
- 矩阵的转置、行列式、秩、逆矩阵求法,矩阵的三角分解、qr分解,对称正定矩阵的乔里斯基分解及行列式值,奇异值分解,广义逆的奇异值分解,矩阵特征值与特征向量等等各种计算方法。(Transpose, rank, determinant, inverse matrix method of matrix decomposition, triangular decomposition of QR matrix, symmetric positive definite matrix and the deter
mo19beck_mfiles_v1.1
- 求解矩阵分解的算法,尤其是对于低秩优化和稀疏优化问题,该算法的效果很好。(The algorithm to solve the matrix decomposition, especially for low rank optimization and sparse optimization problems, the algorithm works well.)
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)
Cochleagram ISNMF2D
- 数据矩阵运用非负矩阵分解算法,分解得到两个低维矩阵,并用于信号分离。(The data matrix is decomposed into two low-dimensional matrices by non-negative matrix decomposition algorithm and used for signal separation.)