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LDA/GSVD算法matlab代码,可用来实现基于广义奇异值分解的线性鉴别分析方法-LDA / GSVD algorithm Matlab code, can be used to achieve based on the generalized singular value decomposition of linear discriminant analysis method
Update : 2008-10-13 Size : 1008byte Publisher : 张海

这是一个测试gsvd.m函数的matlab代码-This is a test gsvd.m function Matlab code
Update : 2008-10-13 Size : 1.07kb Publisher : 怀坏


Update : 2025-02-17 Size : 1kb Publisher : 张海

这是一个测试gsvd.m函数的matlab代码-This is a test gsvd.m function Matlab code
Update : 2025-02-17 Size : 1kb Publisher : 怀坏

DL : 0
一般性的奇异值分解算法,float浮点型。-SGGSVD computes the generalized singular value decomposition (GSVD) * of an M-by-N real matrix A and P-by-N real matrix B: * * U*A*Q = D1*( 0 R ), V*B*Q = D2*( 0 R ) * * where U, V and Q are orthogonal matrices, and Z is the transpose * of Z. Let K+L = the effective numerical rank of the matrix (A ,B ) , * then R is a K+L-by-K+L nonsingular upper triangular matrix, D1 and * D2 are M-by-(K+L) and P-by-(K+L) "diagonal" matrices and of the * following structures,
Update : 2025-02-17 Size : 36kb Publisher : muxihan

DL : 0
改程序可以进行奇异值分解。是一种压缩后的奇异值分解。也可以进行广义奇异值分解。DSVD Damped SVD and GSVD regularization.-Program can change the singular value decomposition. Is a compressed singular value decomposition. Can also be generalized singular value decomposition. DSVD Damped SVD and GSVD regularization.
Update : 2025-02-17 Size : 1kb Publisher : 程方

广义奇异值分解程序,常应用于数据处理,例如信号处理-The generalized singular value decomposition (GSVD) is a matrix decomposition more general than the singular value decomposition. It is used to study the conditioning and regularization of linear systems with respect to quadratic semi-norms.
Update : 2025-02-17 Size : 3kb Publisher : Kefan Chen
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