# Accepted by Information Sciences. # 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 DEMVC model train_ae = False # when train_ae = Ture, the code will pre-train the autoencoders first, and the fine-turn the model with DEMVC data = 'MNIST_USPS_COMIC' # the tested datasets contain: # 'MNIST_USPS_COMIC' (CAE) # 'BDGP' (FAE) # run the code: python main.py # BibTex @article{xu2021deep, title={Deep embedded multi-view clustering with collaborative training}, author={Xu, Jie and Ren, Yazhou and Li, Guofeng and Pan, Lili and Zhu, Ce and Xu, Zenglin}, journal={Information Sciences}, volume={573}, pages={279--290}, year={2021} }