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) 

• 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.

load('data\handwritten.mat');
knn=15; beta=1e-6; gamma=1e1;
[nmi, label] = DGF(X, Y, knn, beta, gamma);

More multi-view data are available on Google Drive.

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}
}