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# To start training a new model on provided datasets, e.g., Digit, run: python train.py --dataset uci # To test the trained model, e.g., Digit, run: python test.py --dataset uci # Due to the divergence based loss may fail into inferior local optima, there may be some fluctuations in the running results, which can be improved by more attempts. # Acknowledgements We thank the PyTorch implementation on SiMVC (https://github.com/DanielTrosten/mvc).
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Deep Safe Multi-view Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View Increase