https://github.com/guanyuezhen/CGL
Consensus Graph Learning for Multi-view Clustering （IEEE TMM 2021）
https://github.com/guanyuezhen/CGL
Last synced: 3 months ago
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Consensus Graph Learning for Multi-view Clustering （IEEE TMM 2021）
- Host: GitHub
- URL: https://github.com/guanyuezhen/CGL
- Owner: guanyuezhen
- Created: 2021-05-12T05:27:54.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2023-02-20T11:21:42.000Z (over 2 years ago)
- Last Synced: 2024-11-03T10:33:06.554Z (8 months ago)
- Language: MATLAB
- Homepage:
- Size: 2.9 MB
- Stars: 25
- Watchers: 1
- Forks: 11
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
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README
#
`Consensus Graph Learning for Multi-view Clustering (IEEE TMM 2021)`
> **Authors:**
Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Guanghui Yue, Wei Zhang, En Zhu
This repository contains simple Matlab and Python implementations of our paper [CGL](https://ieeexplore.ieee.org/abstract/document/9437715).
### 1. Overview
Framework of the proposed CGL method. Multi-view similarity graphs $\{\mathbf{W}^{(v)}\}_{v=1}^V$ are generated from multi-view data $\{\mathbf{X}^{(v)}\}_{v=1}^V$ in advance. Multi-view embedded representations \textcolor[rgb]{0,0,1}{$\{\mathbf{H}^{(v)}\}_{v=1}^V$} are obtained via (a) spectral embedding. To effectively capture the global consistency among multiple views, a low rank tensor $\mathcal{T}$ is learned from a corrupted tensor $\mathcal{B}$, which is constructed by stacking the inner product of normalized embedded representations $\{ \bar{\mathbf{H}}^{(v)}\bar{\mathbf{H}}^{(v)\top}\}_{v = 1}^V$ into a third-order tensor form. We further integrate the (a) spectral embedding and (b) low rank tensor representation learning into a unified optimization framework to achieve mutual promotion. Finally, the consensus graph $\mathbf{S}$ can be learned in the embedded space.
### 2. Usage
+ Prepare the data:
- The ORL dataset can be downloaded from [Google_Drive](https://drive.google.com/file/d/1f971hInoEvA_uM8iNwMCc2-qGeTrYX2d/view?usp=sharing).
- The other datasts can be downloaded from [BaiduYun](https://pan.baidu.com/s/1FSSzkbA8KqCxaktfv6atww)(s3u3).
+ Prerequisites for Python:
- Creating a virtual environment in terminal: `conda create -n CGL python=3.9`
- Installing necessary packages: `pip install -r requirements.txt `
+ Prerequisites for Matlab:
- Test on Matlab R2018a
+ Conduct clustering
### 3. Citation
Please cite our paper if you find the work useful:
@article{Li_2021_CGL,
author={Li, Zhenglai and Tang, Chang and Liu, Xinwang and Zheng, Xiao and Zhang, Wei and Zhu, En},
journal={IEEE Transactions on Multimedia},
title={Consensus Graph Learning for Multi-View Clustering},
year={2022},
volume={24},
number={},
pages={2461-2472},
doi={10.1109/TMM.2021.3081930}
}