JennyQQL / DeepClusterADMM-ReleaseLinks
An implementation of DeepCluster optimized by ADMM.
☆24Updated 8 years ago
Alternatives and similar repositories for DeepClusterADMM-Release
Users that are interested in DeepClusterADMM-Release are comparing it to the libraries listed below
Sorting:
- Spectral Clustering for Complex Graphs☆39Updated 11 years ago
- Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted b…☆83Updated 4 years ago
- Multilinear Factorization Machines for multi-task multi-view learning☆19Updated 8 years ago
- 目前多流形学习算法matlab代码☆13Updated 6 years ago
- [ICML 2019] A Robust Meta-Algorithm for Stochastic Optimization☆29Updated 5 years ago
- This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".☆21Updated 8 years ago
- A MATLAB project containing many popular / existing constrained clustering algorithms☆27Updated 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
- Multi-task learning via Structural Regularization☆134Updated 4 years ago
- ☆89Updated 7 years ago
- Deep Subspace Clustering + GAN☆23Updated 7 years ago
- Package to apply MTL on a few dataset☆26Updated 8 years ago
- A theoretically-grounded derivative-free optimization method, born from a statistical view of evolutionary algorithms☆68Updated 5 years ago
- Multi-Graph Multi-Label Learning☆11Updated 7 years ago
- A cluster framework for 'Clustering by fast search and find of density peaks' in science 2014.☆306Updated 7 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 6 years ago
- This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019☆16Updated 6 years ago
- Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li☆74Updated 8 years ago
- Cost-Sensitive Multi-Label Classification☆19Updated 7 years ago
- Python Code For 'Clustering By Fast Search And Find Of Density Peaks' In Science 2014.☆131Updated 9 years ago
- Code of the paper Fair k-Means Clustering☆13Updated 3 years ago
- Open category classification by adversarial sample generation☆21Updated 5 years ago
- Localized Multiple Kernel k-Means Clustering☆27Updated 6 years ago
- Semi-Supervised Learning Method for Deep Neural Networks☆29Updated 7 years ago
- Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation☆12Updated 8 years ago
- 使用Python复现SIGKDD2017的PAMAE算法(并行k-medoids算法)/The Python implementation of SIGKDD 2017's PAMAE algorithm (parallel k-medoids algorithm)☆33Updated 5 years ago
- Implementation of Neural Graph Machine inspired by the paper [2017 - Bui, Ravi Ramavajjala - Neural Graph Machines: Learning Neural Netwo…☆20Updated 7 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 8 years ago
- An introduction to variational Bayesian☆24Updated 6 years ago