In the Vinony graph
Vinony's link graph records 397 inbound references to 奇异值分解, and connects out to eigenvectors and eigenvalues, kernel and spectrum.
It sits within the topics Functional analysis, Linear algebra and Matrix decompositions.
Vinony links it to 25 Wikipedia language editions.
Wikidata facts
- Subclass of
- algorithm
- Image
- Eigengenes following Alter et al. PNAS 2000 and Alter and Golub PNAS 2006.png
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- topic's main category
- Category:Singular value decomposition
- maintained by WikiProject
- WikiProject Mathematics
Sources (2)
via Wikidata · CC0
Article · 中文
奇异值分解（singular value decomposition）是线性代数中一种重要的矩阵分解，在信号处理、统计学等领域有重要应用。奇异值分解在某些方面与对称矩阵或厄米矩陣基于特征向量的对角化类似。然而这两种矩阵分解尽管有其相关性，但还是有明显的不同。对称阵特征向量分解的基础是，而奇异值分解则是谱分析理论在任意矩阵上的推广。
Abstract from DBpedia / Wikipedia · CC BY-SA
Connections
eigenvectors and eigenvalues
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kernel
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spectrum
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Banach algebra
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eigendecomposition of a matrix
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row and column spaces
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system of linear equations
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norm
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principal component analysis
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QR decomposition
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matrix norm
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diagonalizable matrix
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Householder transformation
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orthonormality
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latent semantic analysis
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Moore–Penrose inverse
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Jacobi eigenvalue algorithm
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singular value
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scaling
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definite matrix
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