• SmallK

  • Referenced in 2 articles [sw21816]
  • been as significant as the singular value decomposition (SVD). However, due to nonnegativity constraints...
  • ImpuR

  • Referenced in 2 articles [sw25883]
  • bilinear matrices (bilinear residual graphs and singular value decompositions), spectral dissimilarity curves via window-evolving...
  • s4vd

  • Referenced in 1 article [sw24288]
  • package s4vd: Biclustering via Sparse Singular Value Decomposition Incorporating Stability Selection. The main function s4vd ... performs a biclustering via sparse singular value decomposition with a nested stability selection. The results...
  • BTTSoftImpute

  • Referenced in 1 article [sw34805]
  • propose a method for imputation of missing values in large scale matrix data based ... proposed method iteratively computes the singular value decomposition (SVD) of the underlying data matrix with...
  • TuckerMPI

  • Referenced in 1 article [sw27856]
  • higher-order analogue to the truncated singular value decomposition of a matrix. The result...
  • xGESVDQ

  • Referenced in 1 article [sw25563]
  • Method for Computing the Singular Value Decomposition...
  • dgesvd

  • Referenced in 1 article [sw13603]
  • DGESVD computes the singular value decomposition (SVD) of a real M-by-N matrix ... optionally computing the left and/or right singular vectors. The SVD is written A = U * SIGMA ... diagonal elements of SIGMA are the singular values of A; they are real...
  • bigQF

  • Referenced in 1 article [sw34710]
  • used in genomics. Also provides stochastic singular value decomposition for dense or sparse matrices...
  • LINPRO

  • Referenced in 1 article [sw10043]
  • methods: Maximum Entropy Method and Singular Value Decomposition. As an example it has been applied...
  • corr

  • Referenced in 1 article [sw12106]
  • three-way tables based on singular value decomposition. corr allows users to perform the analysis...
  • RooUnfold

  • Referenced in 1 article [sw23379]
  • interfaces for the Iterative Bayes, Singular Value Decomposition, and TUnfold methods, as well...
  • CGLS-GCV

  • Referenced in 1 article [sw02400]
  • algorithm is designed to avoid the singular value decomposition (SVD). Its accuracy is comparable...
  • IBRENA

  • Referenced in 1 article [sw30481]
  • methods), coupled with principal component analysis, singular-value decomposition and model reduction. The software features...
  • distcomp

  • Referenced in 1 article [sw20070]
  • stratified Cox model and a singular value decomposition are provided. The former makes direct...
  • orthoDr

  • Referenced in 1 article [sw28510]
  • efficient approach that requires only a singular value decomposition to estimate the dimension reduction subspace...
  • tthresh

  • Referenced in 1 article [sw27855]
  • grids. It leverages the higher-order singular value decomposition (HOSVD), a generalization...
  • Spectram

  • Referenced in 1 article [sw33383]
  • data by a method based on singular value decomposition (SVD) and transition model coupled recombination...
  • OPTISEP

  • Referenced in 1 article [sw19211]
  • Independence Driving Point Residue (EFI-DPR), Singular Value Decomposition (SVD) and the Sensor Set Expansion...
  • MinimalRealization

  • Referenced in 1 article [sw13770]
  • matrix. We use the singular value decomposition as the most accurate method for calculation...
  • DroidMat

  • Referenced in 1 article [sw33515]
  • number of clusters are decided by Singular Value Decomposition (SVD) method on the low rank...