/ConsistentGraphLearning

MATLAB code for the ICDM paper "Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering"

Primary LanguageMATLAB

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

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.

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}
}