DEC clustering in pyTorch

This is an implementation of Junyuan Xie, Ross Girshick, and Ali Farhadi. Unsupervised deep embedding for clustering analysis. ICML 2016 https://arxiv.org/pdf/1511.06335.pdf

Pre-requsit

• pyTorch 0.3+ with CUDA environment
• torchVision
• scikit-learn

Usage

python DEC.py

Results

This code can reach around 87% accuracy on mnist test dataset http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz (trained on mnist training sets)

References

• The code references https://github.com/XifengGuo/DEC-keras and reuse some of the code (thanks for the good work :)
• To keep in mind of the bigger dataset, miniBatchKMeans is used to get cluster center.
• Right now only mnist dataset is tested, it should be easier to add more dataset through torchVision DataLoader.