danyaljj / constrained_clusteringLinks
A MATLAB project containing many popular / existing constrained clustering algorithms
☆27Updated 7 years ago
Alternatives and similar repositories for constrained_clustering
Users that are interested in constrained_clustering are comparing it to the libraries listed below
Sorting:
- Spectral Clustering for Complex Graphs☆39Updated 11 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆44Updated 10 years ago
- KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means☆59Updated 5 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆46Updated 8 years ago
- Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.☆13Updated 9 years ago
- Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code☆22Updated 6 years ago
- MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.☆33Updated 4 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
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago
- Tensor Train Rank-1 decomposition☆19Updated 6 years ago
- Dirichlet process mixture model code in Matlab. Sampling and variational.☆71Updated 12 years ago
- Matlab implementations of fast algorithms for nonnegative matrix and tensor factorizations☆58Updated 11 years ago
- IMTSL - Incremental and Multi-feature Tensor Subspace Learning☆36Updated 4 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 9 years ago
- Multilinear Factorization Machines for multi-task multi-view learning☆19Updated 8 years ago
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 9 years ago
- Implementation of several different types of autoencoders☆116Updated 3 years ago
- Localized Multiple Kernel k-Means Clustering☆27Updated 6 years ago
- Algorithms for learning network structure from effective resistances and other random-walk-based similarities.☆31Updated 7 years ago
- Robust PCA in Python☆36Updated 12 years ago
- Multi-task learning via Structural Regularization☆133Updated 4 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆104Updated 12 years ago
- Theano-based implementation of Deep Semi-NMF.☆117Updated 9 years ago
- Active learning toolbox for MATLAB☆46Updated 7 years ago
- Denoising Adversairal Autoencoders☆40Updated 8 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 7 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 7 years ago
- Dual Augmented Lagrangian (DAL) algorithm for sparse/low-rank reconstruction and learning☆34Updated 9 years ago
- a python code for deep canonical correlation analysis (dcca) written using numpy☆37Updated 4 years ago
- Matlab code for S. Theodoridis' "Machine Learning: A Bayesian and Optimization Perspective" (2015).☆71Updated 6 years ago