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
- KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means☆59Updated 5 years ago
- Dirichlet process mixture model code in Matlab. Sampling and variational.☆71Updated 12 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆44Updated 10 years ago
- The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)☆72Updated 7 years ago
- Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.☆13Updated 9 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆46Updated 8 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago
- Denoising Adversairal Autoencoders☆40Updated 8 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 7 years ago
- Tensor Train Rank-1 decomposition☆19Updated 6 years ago
- An implementation of SVM+☆26Updated 8 years ago
- MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.☆33Updated 4 years ago
- Deep variational inference in tensorflow☆56Updated 7 years ago
- a python code for deep canonical correlation analysis (dcca) written using numpy☆37Updated 4 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- experiments and datasets used for the paper "A Deep Learning Approach to Unsupervised Ensemble Learning"☆20Updated 9 years ago
- Sampling via Moment Sharing☆11Updated 10 years ago
- Multi-task learning via Structural Regularization☆134Updated 4 years ago
- Variational inference for Gaussian mixture models☆36Updated 11 years ago
- Active learning toolbox for MATLAB☆46Updated 7 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆104Updated 12 years ago
- Implementation of several different types of autoencoders☆116Updated 3 years ago
- This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…☆41Updated 10 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
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 8 years ago
- Multilinear Factorization Machines for multi-task multi-view learning☆19Updated 8 years ago
- The sample code to study non-negative matrix and tensor factorization.☆38Updated 5 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 7 years ago
- This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kern…☆74Updated 13 years ago