tbuehler / sparsePCA
Sparse principal component analysis as a nonlinear eigenproblem
☆16Updated 4 years ago
Alternatives and similar repositories for sparsePCA:
Users that are interested in sparsePCA are comparing it to the libraries listed below
- ☆18Updated 8 years ago
- Sparce Subspace Clustering (SSC) is a subspace clustering algorithm that uses sparse vector representation, convex optimization, and spec…☆43Updated 8 years ago
- Several state-of-the-art fuzzy clustering algorithms, including Fuzzy c-means clustering, fuzzy subspace clustering and maximum entropy c…☆26Updated 4 years ago
- Scripts for the paper: 2DPCA with L1-norm for simultaneously robust and sparse modelling.☆17Updated 5 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
- A MATLAB toolbox for classifier: Version 1.0.7☆86Updated 2 years ago
- Iteratively Reweighted Nuclear Norm for Nonconvex Nonsmooth Low-rank Minimization☆24Updated 3 years ago
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 8 years ago
- Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization☆13Updated 6 years ago
- A Unified Framework for Metric Transfer Learning☆17Updated 7 years ago
- NonNegative Matrix Factorization with Low Rank via the Alternating Direction Method of Multipliers☆9Updated 7 years ago
- Spectral Clustering for Complex Graphs☆39Updated 10 years ago
- This provides an MATLAB code implementation for the paper "Low-rank and Sparse Matrix Decomposition via the Truncated Nuclear Norm and a …☆28Updated 6 years ago
- Recursive importance sampling for Nyström kernel matrix approximation☆14Updated 7 years ago
- MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3☆53Updated 6 years ago
- Matlab implementation of L0 motivated low-rank sparse subspace clustering☆8Updated 5 years ago
- 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
- Tensor Robust Principal Component Analysis via t-SVD☆14Updated 6 years ago
- Generalized Discriminant Analysis (GDA) - non-linear feature dimensionality reduction technique☆19Updated 8 years ago
- Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"☆25Updated 2 years ago
- MATLAB code of the paper "Sparse Representation and Least Squares-Based Classification in Face Recognition", EUSIPCO 2014☆16Updated 8 years ago
- OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1☆36Updated 2 years ago
- Matlab Code of Bayesian Robust Tensor Factorization☆11Updated 8 years ago
- Subspace Clustering Library☆52Updated 9 years ago
- Tensor Train Rank-1 decomposition☆19Updated 5 years ago
- iADMM for a low-rank representation optimization problem☆12Updated 4 years ago
- Multi-view dimensionality reduction using tensor canonical correlation analysis☆10Updated 6 years ago
- Selective Sampling-based Scalable Sparse Subspace Clustering (NeurIPS 19')☆13Updated 4 years ago
- Semi-Supervised Sparse Representation Based Classification for Face Recognition☆13Updated 6 years ago
- features extraction；artificial features；hog；haar；lbp；sift；softnms☆34Updated 3 years ago