(새 문서: ==개요== ;singular value decomposition (SVD) ;특잇값 분해, 특이값 분해 500px ==같이 보기== {{z컬럼3| * 주성분 분석...) |
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| 25번째 줄: | 25번째 줄: | ||
*[[List of Fourier-related transforms]] | *[[List of Fourier-related transforms]] | ||
*[[Locality-sensitive hashing]] | *[[Locality-sensitive hashing]] | ||
*[[ | *[[저-랭크 근사]] (low-rank approximation) | ||
*[[Matrix decomposition]] | *[[Matrix decomposition]] | ||
*[[Multilinear principal component analysis]] (MPCA) | *[[Multilinear principal component analysis]] (MPCA) | ||
2020년 5월 14일 (목) 00:07 기준 최신판
1 개요[ | ]
- singular value decomposition (SVD)
- 특잇값 분해, 특이값 분해
2 같이 보기[ | ]
- 주성분 분석 (PCA)
- Canonical correlation
- Canonical form
- Correspondence analysis (CA)
- Curse of dimensionality
- Digital signal processing
- Dimensionality reduction
- Eigendecomposition of a matrix
- Empirical orthogonal functions (EOFs)
- Fourier analysis
- Generalized singular value decomposition
- Inequalities about singular values
- K-SVD
- Latent semantic analysis
- Latent semantic indexing
- Linear least squares
- List of Fourier-related transforms
- Locality-sensitive hashing
- 저-랭크 근사 (low-rank approximation)
- Matrix decomposition
- Multilinear principal component analysis (MPCA)
- Nearest neighbor search
- Non-linear iterative partial least squares
- Polar decomposition
- Schmidt decomposition
- Singular value
- Time series
- Two-dimensional singular-value decomposition (2DSVD)
- von Neumann's trace inequality
- Wavelet compression
3 참고[ | ]
네이버백과 "특이값 분해"
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