Alternatives and similar repositories for NMF_ADMM_LR

Users that are interested in NMF_ADMM_LR are comparing it to the libraries listed below

• ehosseiniasl / Nonnegativity-Constrained-Autoencoder-NCAE
  Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.
  ☆13Updated 9 years ago
• Haoran-S / SNMF
  Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization
  ☆13Updated 8 years ago
• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆44Updated 10 years ago
• quanmingyao / FaNCL
  Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code
  ☆22Updated 6 years ago
• ares5221 / multi-manifoldlearning
  目前多流形学习算法matlab代码
  ☆13Updated 6 years ago
• SimonDu / CUR-matrix-decomposition
  A matlab library for CUR matrix decomposition
  ☆26Updated 7 years ago
• kbatseli / TTr1SVD
  Tensor Train Rank-1 decomposition
  ☆19Updated 6 years ago
• csliangdu / FSASL
  An unsupervised feature selection algorithm with adaptive structure learning. This paper has been published as a research paper in KDD 20…
  ☆43Updated 7 years ago
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆50Updated 9 years ago
• smartyfh / DANMF
  Deep Autoencoder-like NMF
  ☆23Updated 4 years ago
• arolet / wasserstein-dictionary-learning
  A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
  ☆32Updated 8 years ago
• steverab / tensor-gmm
  Implementation of learning a Gaussian mixture model using tensor decomposition.
  ☆15Updated 8 years ago
• shihai1991 / kernel-density-peaks
  We develop the clustering approach by fast-search-and-find of density peaks which use the kernel function for mapping the input sample ob…
  ☆17Updated 9 years ago
• wangshusen / RandMatrixMatlab
  simple MATLAB code for randomized matrix computation
  ☆23Updated 9 years ago
• mehmetgonen / bssml
  Bayesian (Semi-)Supervised Multilabel Learning
  ☆11Updated 7 years ago
• BorgwardtLab / MvKDR
  Multi-view Spectral Clustering on Conflicting Views
  ☆15Updated 7 years ago
• gnaixgnaw / CSP
  Spectral Clustering for Complex Graphs
  ☆39Updated 11 years ago
• JHUVisionLab / SSC-using-ADMM
  Sparce Subspace Clustering (SSC) is a subspace clustering algorithm that uses sparse vector representation, convex optimization, and spec…
  ☆44Updated 8 years ago
• cnmusco / graph-similarity-learning
  Algorithms for learning network structure from effective resistances and other random-walk-based similarities.
  ☆31Updated 7 years ago
• nhatpd / iADMM
  iADMM for a low-rank representation optimization problem
  ☆12Updated 4 years ago
• hexiangnan / CoNMF
  Co-regularized Non-negative Matrix Factorization
  ☆18Updated 8 years ago
• panji530 / Low-rank-kernel-subspace-clustering
  ☆13Updated 5 years ago
• tbuehler / sparsePCA
  Sparse principal component analysis as a nonlinear eigenproblem
  ☆17Updated 4 years ago
• kevin-luc / MFM-MTMV
  Multilinear Factorization Machines for multi-task multi-view learning
  ☆18Updated 8 years ago
• andrewssobral / TDALAB
  A MATLAB Toolbox for High-order Tensor Data Decompositions and Analysis
  ☆20Updated 7 years ago
• ToshikiShawn / Tensor_RPCA
  Tensor Robust Principal Component Analysis via t-SVD
  ☆14Updated 6 years ago
• AlexWufan / Robust-Subspace-Segmentation-By-Low-Rank-Representation
  ☆24Updated 8 years ago
• gdebarghya / Hypergraph-Clustering
  MATLAB codes for several tensor based methods for hypergraph partitioning and subspace clustering
  ☆13Updated 6 years ago
• quinngroup / deep-representations-clustering
  This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".
  ☆21Updated 8 years ago
• qbzhao / BRTF
  Matlab Code of Bayesian Robust Tensor Factorization
  ☆11Updated 8 years ago