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Description: 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
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Size: 1008 |
Author: 张海 |
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Description: 这是一个测试gsvd.m函数的matlab代码-This is a test gsvd.m function Matlab code
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Size: 1098 |
Author: 怀坏 |
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Description:
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Size: 1024 |
Author: 张海 |
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Description: 这是一个测试gsvd.m函数的matlab代码-This is a test gsvd.m function Matlab code
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Size: 1024 |
Author: 怀坏 |
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Description: 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,
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Size: 36864 |
Author: muxihan |
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Description: 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.
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Size: 1024 |
Author: 程方 |
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Description: 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.
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Size: 3072 |
Author: Kefan Chen |
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