Accepted by IEEE TKDE.

citation

@ARTICLE{9839616, author={Xu, Jie and Ren, Yazhou and Tang, Huayi and Yang, Zhimeng and Pan, Lili and Yang, Yang and Pu, Xiaorong and Yu, Philip S. and He, Lifang}, journal={IEEE Transactions on Knowledge and Data Engineering}, title={Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering}, year={2023}, volume={35}, number={7}, pages={7470-7482}, doi={10.1109/TKDE.2022.3193569} }

Install Keras v2.0, scikit-learn sudo pip install keras scikit-learn

settings in main.py

TEST = Ture

when TEST = Ture, the code just test the trained SDMVC model

train_ae = False

when train_ae = Ture, the code will pre-train the autoencoders first, and the fine-turn the model with SDMVC

data = 'BDGP'

the tested datasets contain:

'MNIST_USPS' (CAE)

'Fashion_MV' (CAE)

'BDGP' (FAE)

'Caltech101_20' (FAE)

run the code：

python main.py

(SDMVC.7z is the old version uploaded in Feb. 2021)