Amirbabaeian / manifold-clustering-algorithm
The source code to cluster multiple manifolds with intersection
☆11Updated 7 years ago
Alternatives and similar repositories for manifold-clustering-algorithm:
Users that are interested in manifold-clustering-algorithm are comparing it to the libraries listed below
- 目前多流形学习算法matlab代码☆13Updated 6 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆43Updated 10 years ago
- Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code☆22Updated 5 years ago
- Sparse simplex projection-based Wasserstein k-means☆10Updated 3 years ago
- Sparce Subspace Clustering (SSC) is a subspace clustering algorithm that uses sparse vector representation, convex optimization, and spec…☆42Updated 8 years ago
- Sparse principal component analysis as a nonlinear eigenproblem☆15Updated 4 years ago
- Scripts for the paper: 2DPCA with L1-norm for simultaneously robust and sparse modelling.☆17Updated 5 years ago
- Subspace Clustering Library☆51Updated 8 years ago
- This packaged is an implementation of our paper "Robust Denoising of Piece-Wise Smooth Manifolds", ICASSP 2018 The algorithm creates an …☆15Updated 5 years ago
- Spectral Clustering for Complex Graphs☆39Updated 10 years ago
- MATLAB Active Learning Toolbox for Remote Sensing☆29Updated 7 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆45Updated 8 years ago
- Non-negative matrix factorization (NMF) minimizes the euclidean distance between the data matrix and its low rank approximation, and it f…☆13Updated 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 8 years ago
- ☆22Updated 8 years ago
- Demo of using aNNE similarity for DBSCAN.☆13Updated 3 years ago
- Several state-of-the-art fuzzy clustering algorithms, including Fuzzy c-means clustering, fuzzy subspace clustering and maximum entropy c…☆25Updated 4 years ago
- Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization☆12Updated 7 years ago
- ☆9Updated 9 years ago
- Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.☆13Updated 9 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
- 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
- NonNegative Matrix Factorization with Low Rank via the Alternating Direction Method of Multipliers☆9Updated 7 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆64Updated 2 years ago
- Kernel Sparse Representation for Time Series Classification☆17Updated 10 years ago
- Matlab implementation of the Bayesian Fuzzy Clustering algorithms. See related paper, doi: 10.1109/TFUZZ.2014.2370676☆25Updated 5 years ago
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 8 years ago
- Matlab Toolbox for Dimensionality Reduction☆34Updated 10 years ago
- Code for a recurrent neural network (RNN) created by unfolding the sequential ISTA (SISTA) algorithm for sequential sparse coding☆14Updated 7 years ago
- Contains the code of Multi-view Data Visualisation via Manifold Learning paper☆6Updated 10 months ago