Alternatives and similar repositories for SSC:

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

• JHUVisionLab / SSC-using-ADMM
  Sparce Subspace Clustering (SSC) is a subspace clustering algorithm that uses sparse vector representation, convex optimization, and spec…
  ☆43Updated 8 years ago
• sjtrny / kssc
  Efficient Sparse Subspace Clustering by Nearest Neighbour Filtering
  ☆9Updated 7 years ago
• tomMoral / Dicod
  Experiments for ICML paper DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding, ICML 2018, T. Moreau, L. …
  ☆12Updated 6 years ago
• sjtrny / SubKit
  Subspace Clustering Library
  ☆52Updated 9 years ago
• gnaixgnaw / CSP
  Spectral Clustering for Complex Graphs
  ☆39Updated 10 years ago
• UMD-ISL / Matlab-Toolbox-for-Dimensionality-Reduction
  Matlab Toolbox for Dimensionality Reduction
  ☆34Updated 10 years ago
• steven2358 / kmbox
  Kernel Methods Toolbox for Matlab/Octave
  ☆51Updated 5 years ago
• FurongHuang / ConvDicLearnTensorFactor
  Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independe…
  ☆17Updated 8 years ago
• abhinav4192 / sparse-subspace-clustering-python
  Python implementation of Sparse Subspace Clustering algorithm.
  ☆79Updated 6 years ago
• mbrbic / L0-motivated-LRSSC
  Matlab implementation of L0 motivated low-rank sparse subspace clustering
  ☆8Updated 5 years ago
• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆43Updated 10 years ago
• andrewssobral / imtsl
  IMTSL - Incremental and Multi-feature Tensor Subspace Learning
  ☆35Updated 4 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆64Updated 2 years ago
• peiyunh / mat-vae
  A MATLAB implementation of Auto-Encoding Variational Bayes
  ☆45Updated 8 years ago
• kimjingu / nonnegfac-matlab
  Matlab implementations of fast algorithms for nonnegative matrix and tensor factorizations
  ☆58Updated 10 years ago
• oeufracio / NMF_ADMM_LR
  NonNegative Matrix Factorization with Low Rank via the Alternating Direction Method of Multipliers
  ☆9Updated 7 years ago
• gpeyre / 2016-ICML-gromov-wasserstein
  Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.
  ☆73Updated 8 years ago
• andrewssobral / mtt
  MATLAB Tensor Tools
  ☆86Updated 4 years ago
• barbosaaob / lrr
  Low-Rank Representation Python implementation
  ☆35Updated 5 years ago
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆50Updated 8 years ago
• quanmingyao / FaNCL
  Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code
  ☆22Updated 5 years ago
• tbuehler / sparsePCA
  Sparse principal component analysis as a nonlinear eigenproblem
  ☆16Updated 4 years ago
• hiroyuki-kasai / SparseGDLibrary
  MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
  ☆53Updated 6 years ago
• areslp / matlab
  ☆176Updated 8 months ago
• hiroyuki-kasai / OLSTEC
  OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
  ☆36Updated 2 years ago
• OsmanMalik / tucker-tensorsketch
  Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"
  ☆25Updated 2 years ago
• felipeyanez / nmf
  Primal-dual Algorithms for Non-negative Matrix Factorization with the Kullback-Leibler Divergence
  ☆23Updated 5 years ago
• arolet / wasserstein-dictionary-learning
  A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
  ☆32Updated 8 years ago
• andrewssobral / tensor_toolbox
  MATLAB Tensor Toolbox (by Tamara Kolda)
  ☆40Updated 8 years ago
• xinwangliu / Multi-Kernel-Extreme-Learning-Machine
  ☆18Updated 8 years ago