1. Akaho, S. (2004). e-PCA and m-PCA: Dimension reduction of parameters by information geometry. Proceedings of IJCNN, 129–134.
2. Amari, S., & Nagaoka, H. (2000). Methods of Information Geometry. Oxford: AMS and Oxford University Press.
3. Attias, H. (1999). Inferring parameters and structure of latent variable models by variational Bayes. Proceedings of UAI, 21–30.
4. Banerjee, A., Merugu, S., Dhillon, I. S., & Ghosh J. (2005). Clustering with Bregman Divergences. Journal of Machine Learning Research, 6, 1705–1749.
5. Bishop, C. M. (1999). Bayesian PCA. Advances in NIPS,11, 382–388.