https://github.com/youweiliang/ConsistentGraphLearning

MATLAB code for the ICDM paper "Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering"
https://github.com/youweiliang/ConsistentGraphLearning

clustering clustering-algorithm graph-learning multi-view-clustering multiview-clustering multiview-learning spectral-clustering

Last synced: about 1 month ago
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MATLAB code for the ICDM paper "Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering"

• Host: GitHub
• URL: https://github.com/youweiliang/ConsistentGraphLearning
• Owner: youweiliang
• Created: 2019-09-01T02:16:54.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2020-10-01T03:42:18.000Z (almost 4 years ago)
• Last Synced: 2024-04-07T19:33:28.354Z (5 months ago)
• Topics: clustering, clustering-algorithm, graph-learning, multi-view-clustering, multiview-clustering, multiview-learning, spectral-clustering
• Language: MATLAB
• Size: 4.91 MB
• Stars: 18
• Watchers: 3
• Forks: 7
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Distance Graph Fusion (DGF) and Similarity Graph Fusion (SGF)

This repository contains the MATLAB code for DGF and SGF introduced in the following paper 

	Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering (ICDM 2019) 

### Preparation

* **Windows 64bit**: 

Add some helper files to MATLAB path by `addpath('MinMaxSelection')` command in MATLAB command window.

* **Linux, Windows 32bit and Mac OS**: 

Add some helper files to MATLAB path by `addpath('MinMaxSelection')` command in MATLAB command window. Then recompile the helper functions by running `minmax_install`.

### Example usage

```MATLAB

load('data\handwritten.mat');

knn=15; beta=1e-6; gamma=1e1;

[nmi, label] = DGF(X, Y, knn, beta, gamma);

```

### Multi-view Data

More multi-view data are available on [Google Drive](https://drive.google.com/drive/folders/1vzJ19eGy7sAyLTFtM4IWkKzZhFJsi134?usp=sharing "multi-view data").

### Citation

If you find this algorithm useful in your research, please consider citing:

	@inproceedings{liang2019consistency,

	  title={Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering},

	  author={Youwei Liang, Dong Huang, and Chang-Dong Wang},

	  booktitle={2019 IEEE International Conference on Data Mining (ICDM)},

	  year={2019}

	}