arbenson / tensor-scLinks
Tensor spectral clustering.
☆29Updated 7 years ago
Alternatives and similar repositories for tensor-sc
Users that are interested in tensor-sc are comparing it to the libraries listed below
Sorting:
- codes for the paper General Tensor Spectral Co-clustering for Higher-Order Data☆17Updated 8 years ago
- Algorithms for learning network structure from effective resistances and other random-walk-based similarities.☆31Updated 7 years ago
- ☆8Updated 8 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 8 years ago
- Bayesian Poisson tensor factorization☆59Updated 7 months ago
- Robust PCA in Python☆36Updated 12 years ago
- Sparse Beta-Divergence Tensor Factorization Library☆48Updated 3 weeks ago
- MLSS 2016 material.☆22Updated 9 years ago
- Metric Learning to Rank☆46Updated 11 years ago
- mixed membership stochastic block model☆13Updated 9 years ago
- ☆22Updated 10 years ago
- Multilinear Factorization Machines for multi-task multi-view learning☆18Updated 8 years ago
- ☆9Updated 10 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 4 years ago
- An implementation of SVM+☆26Updated 8 years ago
- Dirichlet Process K-means☆48Updated last year
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 8 years ago
- Bayesian multi-tensor factorization methods, with side information☆29Updated 5 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- modular implementation of new algorithm☆13Updated 11 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago
- Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…☆15Updated 10 years ago
- KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means☆59Updated 5 years ago
- Graphical Model for Recommender Systems☆20Updated 8 years ago
- ☆14Updated 10 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Updated 5 years ago
- CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms (ICDM'16 & KAIS'18)☆16Updated 7 months ago
- Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time accordin…☆48Updated 9 years ago
- Poisson Matrix and Tensor Factorization with sparse input and internal representations☆16Updated 5 years ago
- Fast, principled L1-regularized loss minimization☆24Updated last year