1. Soft-to-hard vector quantization for end-to-end learning compressible representations;Agustsson,2017
2. E. Aljalbout, V. Golkov, Y. Siddiqui, D. Cremers, Clustering with Deep Learning: Taxonomy and New Methods, arXiv:1801.07648 (2018).
3. K-Means++: the advantages of careful seeding;Arthur,2007
4. Greedy layer-wise training of deep networks;Bengio,2006
5. Pattern Recognition and Machine Learning;Bishop,2006