Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering
This is an example implementation of our paper our paper:
Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Hong Liu, Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering, AAAI Conference on Artificial Intelligence, 2019, 5393-5400.
This code has been evaluated on Matlab.
Note: tune parapeters lambda1, lambda2, lambda3, neighbor, and r to achieve the best results. (Generally, you can set neighbor = 7, and r = 3 in most cases.)
Influneced by the initilzation of k-means or the matlab versions, the clustering results may have little deviations to the reuslts reported in the paper.
Citation:
If you find our approach useful in your research, please consider citing:
@inproceedings{wen2021Unified,
title={Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering},
author={Wen, Jie and Zhang, Zheng and Xu, Yong, and Zhang, Bob and Fei, Lunke and Liu, Hong},
booktitle={The Thirty-Third AAAI Conference on Artificial Intelligence},
year={2019}
}