Settings in main.py

data = 'Caltech'

The following settings are adopted to all datasets

Lc = 1.0
Lr = 1.0
lrate = 0.001
epochs = 500
Update_epoch = 1000
Max_iteration = 10
Batch = 256

The datasets with different miss rates are generated each time

for missrate in [0.1, 0.3, 0.5, 0.7]:

Run the code by

python main.py

Requirement

python==3.7.10
scikit-learn==0.22.2.post1
scipy==1.4.1
tensorflow-gpu==2.5.0

BibTex

@InProceedings{Xu_2022_AAAI, author = {Xu, Jie and Li, Chao and Ren, Yazhou and Peng, Liang and Mo, Yujie and Shi, Xiaoshuang and Zhu, Xiaofeng}, title = {Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity}, booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, pages = {8761-8769} }