stephenbeckr / SSC
Sparse Subspace Clustering (for linear and affine spaces)
☆19Updated 5 years ago
Alternatives and similar repositories for SSC
Users that are interested in SSC are comparing it to the libraries listed below
Sorting:
- Sparce Subspace Clustering (SSC) is a subspace clustering algorithm that uses sparse vector representation, convex optimization, and spec…☆44Updated 8 years ago
- Efficient Sparse Subspace Clustering by Nearest Neighbour Filtering☆9Updated 8 years ago
- MATLAB Tensor Tools☆87Updated 4 years ago
- Matlab implementation of L0 motivated low-rank sparse subspace clustering☆8Updated 5 years ago
- Python implementation of Sparse Subspace Clustering algorithm.☆79Updated 6 years ago
- Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"☆25Updated 2 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆45Updated 10 years ago
- Experiments for ICML paper DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding, ICML 2018, T. Moreau, L. …☆12Updated 6 years ago
- Subspace Clustering Library☆52Updated 9 years ago
- Spectral Clustering for Complex Graphs☆39Updated 10 years ago
- IMTSL - Incremental and Multi-feature Tensor Subspace Learning☆35Updated 4 years ago
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 8 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 8 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆65Updated 2 years ago
- tensor-tensor product toolbox☆83Updated 4 years ago
- Tensor Train Rank-1 decomposition☆19Updated 6 years ago
- NonNegative Matrix Factorization with Low Rank via the Alternating Direction Method of Multipliers☆9Updated 7 years ago
- 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
- Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code☆22Updated 5 years ago
- ☆13Updated 5 years ago
- Matrix and Tensor Completion for Background Model Initialization☆110Updated 4 years ago
- 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
- Efficient Wasserstein Barycenter in MATLAB (for "Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support" …☆25Updated 5 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆73Updated 8 years ago
- Code of Fair PCA algorithm introduced in the paper "The Price of Fair PCA: One Extra Dimension"☆27Updated 2 years ago
- This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".☆21Updated 8 years ago
- Low-Rank Representation Python implementation☆35Updated 5 years ago
- OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1☆37Updated 2 years ago
- iADMM for a low-rank representation optimization problem☆12Updated 4 years ago
- Robust Prinicipal Components in Python☆64Updated 6 years ago